Overview

Dataset statistics

Number of variables251
Number of observations1000
Missing cells140
Missing cells (%)0.1%
Total size in memory16.2 MiB
Average record size in memory16.6 KiB

Variable types

Numeric1
Text250

Alerts

year_ending has constant value ""Constant
construction_status has constant value ""Constant
metered_areas_energy has constant value ""Constant
national_median_energy_star_score has constant value ""Constant
fuel_oil_1_use_kbtu has constant value ""Constant
fuel_oil_5_6_use_kbtu has constant value ""Constant
propane_use_kbtu has constant value ""Constant
ambulatory_surgical_center_gross_floor_area_ft has constant value ""Constant
automobile_dealership_gross_floor_area_ft has constant value ""Constant
barracks_gross_floor_area_ft has constant value ""Constant
convention_center_gross_floor_area_ft has constant value ""Constant
courthouse_gross_floor_area_ft has constant value ""Constant
data_center_pue has constant value ""Constant
data_center_national_median_pue has constant value ""Constant
distribution_center_gross_floor_area_ft has constant value ""Constant
enclosed_mall_gross_floor_area_ft has constant value ""Constant
energy_power_station_gross_floor_area_ft has constant value ""Constant
outpatient_rehabilitation_physical_therapy_gross_floor_area_ft has constant value ""Constant
mailing_center_post_office_gross_floor_area_ft has constant value ""Constant
movie_theater_gross_floor_area_ft has constant value ""Constant
manufacturing_industrial_plant_gross_floor_area_ft has constant value ""Constant
refrigerated_warehouse_gross_floor_area_ft has constant value ""Constant
self_storage_facility_gross_floor_area_ft has constant value ""Constant
wastewater_treatment_plant_gross_floor_area_ft has constant value ""Constant
worship_facility_gross_floor_area_ft has constant value ""Constant
estimated_data_flag_fuel_oil_no_1 has constant value ""Constant
alert_data_center_issue_with_estimates_it_configuration_or_it_meter has constant value ""Constant
alert_energy_meter_has_less_than_12_full_calendar_months_of_data has constant value ""Constant
alert_energy_meter_has_overlaps has constant value ""Constant
alert_energy_no_meters_selected_for_metrics has constant value ""Constant
alert_property_has_no_uses has constant value ""Constant
outdoor_water_use_all_water_sources_kgal has constant value ""Constant
municipally_supplied_potable_water_outdoor_use_kgal has constant value ""Constant
borough has 20 (2.0%) missing valuesMissing
community_board has 20 (2.0%) missing valuesMissing
council_district has 20 (2.0%) missing valuesMissing
census_tract has 20 (2.0%) missing valuesMissing
nta has 20 (2.0%) missing valuesMissing
longitude has 20 (2.0%) missing valuesMissing
latitude has 20 (2.0%) missing valuesMissing
0 has unique valuesUnique
site_energy_use_kbtu has unique valuesUnique
source_energy_use_kbtu has unique valuesUnique

Reproduction

Analysis started2023-12-09 21:01:20.752847
Analysis finished2023-12-09 21:01:30.292302
Duration9.54 seconds
Software versionydata-profiling v0.0.dev0
Download configurationconfig.json

Variables

0
Real number (ℝ)

UNIQUE 

Distinct1000
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean500.5
Minimum1
Maximum1000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.9 KiB
2023-12-09T21:01:30.432670image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile50.95
Q1250.75
median500.5
Q3750.25
95-th percentile950.05
Maximum1000
Range999
Interquartile range (IQR)499.5

Descriptive statistics

Standard deviation288.8194361
Coefficient of variation (CV)0.5770618104
Kurtosis-1.2
Mean500.5
Median Absolute Deviation (MAD)250
Skewness0
Sum500500
Variance83416.66667
MonotonicityStrictly increasing
2023-12-09T21:01:30.591471image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.1%
672 1
 
0.1%
659 1
 
0.1%
660 1
 
0.1%
661 1
 
0.1%
662 1
 
0.1%
663 1
 
0.1%
664 1
 
0.1%
665 1
 
0.1%
666 1
 
0.1%
Other values (990) 990
99.0%
ValueCountFrequency (%)
1 1
0.1%
2 1
0.1%
3 1
0.1%
4 1
0.1%
5 1
0.1%
ValueCountFrequency (%)
1000 1
0.1%
999 1
0.1%
998 1
0.1%
997 1
0.1%
996 1
0.1%
Distinct999
Distinct (%)99.9%
Missing0
Missing (%)0.0%
Memory size62.6 KiB
2023-12-09T21:01:30.997192image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length7
Median length7
Mean length6.98
Min length4

Characters and Unicode

Total characters6980
Distinct characters10
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique998 ?
Unique (%)99.8%

Sample

1st row7365
2nd row8139
3rd row8604
4th row8841
5th row11809
ValueCountFrequency (%)
1295925 2
 
0.2%
1836510 1
 
0.1%
1633535 1
 
0.1%
1633036 1
 
0.1%
1633187 1
 
0.1%
1836378 1
 
0.1%
1633579 1
 
0.1%
1633197 1
 
0.1%
1634444 1
 
0.1%
1633888 1
 
0.1%
Other values (989) 989
98.9%
2023-12-09T21:01:31.552672image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3 1643
23.5%
1 1321
18.9%
6 1256
18.0%
4 709
10.2%
8 408
 
5.8%
5 362
 
5.2%
2 344
 
4.9%
7 332
 
4.8%
0 330
 
4.7%
9 275
 
3.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 6980
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 1643
23.5%
1 1321
18.9%
6 1256
18.0%
4 709
10.2%
8 408
 
5.8%
5 362
 
5.2%
2 344
 
4.9%
7 332
 
4.8%
0 330
 
4.7%
9 275
 
3.9%

Most occurring scripts

ValueCountFrequency (%)
Common 6980
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
3 1643
23.5%
1 1321
18.9%
6 1256
18.0%
4 709
10.2%
8 408
 
5.8%
5 362
 
5.2%
2 344
 
4.9%
7 332
 
4.8%
0 330
 
4.7%
9 275
 
3.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6980
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3 1643
23.5%
1 1321
18.9%
6 1256
18.0%
4 709
10.2%
8 408
 
5.8%
5 362
 
5.2%
2 344
 
4.9%
7 332
 
4.8%
0 330
 
4.7%
9 275
 
3.9%
Distinct999
Distinct (%)99.9%
Missing0
Missing (%)0.0%
Memory size68.6 KiB
2023-12-09T21:01:31.909149image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length44
Median length12
Mean length13.155
Min length3

Characters and Unicode

Total characters13155
Distinct characters70
Distinct categories8 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique998 ?
Unique (%)99.8%

Sample

1st row1155
2nd row200
3rd row114
4th row733
5th rowConde Nast Building
ValueCountFrequency (%)
avenue 31
 
2.3%
17
 
1.3%
madison 12
 
0.9%
street 12
 
0.9%
park 10
 
0.7%
of 9
 
0.7%
ave 9
 
0.7%
fifth 9
 
0.7%
plaza 8
 
0.6%
the 8
 
0.6%
Other values (1123) 1213
90.7%
2023-12-09T21:01:32.425477image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 3504
26.6%
1 1236
 
9.4%
- 897
 
6.8%
2 860
 
6.5%
3 761
 
5.8%
4 674
 
5.1%
5 529
 
4.0%
8 410
 
3.1%
6 392
 
3.0%
9 383
 
2.9%
Other values (60) 3509
26.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 9119
69.3%
Lowercase Letter 1391
 
10.6%
Uppercase Letter 1335
 
10.1%
Dash Punctuation 897
 
6.8%
Space Separator 339
 
2.6%
Other Punctuation 42
 
0.3%
Close Punctuation 16
 
0.1%
Open Punctuation 16
 
0.1%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
K 292
21.9%
Q 210
15.7%
X 185
13.9%
M 179
13.4%
A 64
 
4.8%
R 62
 
4.6%
L 43
 
3.2%
P 42
 
3.1%
S 41
 
3.1%
C 35
 
2.6%
Other values (16) 182
13.6%
Lowercase Letter
ValueCountFrequency (%)
e 232
16.7%
n 130
9.3%
a 128
 
9.2%
t 111
 
8.0%
i 98
 
7.0%
r 97
 
7.0%
o 84
 
6.0%
s 70
 
5.0%
u 61
 
4.4%
d 56
 
4.0%
Other values (15) 324
23.3%
Decimal Number
ValueCountFrequency (%)
0 3504
38.4%
1 1236
 
13.6%
2 860
 
9.4%
3 761
 
8.3%
4 674
 
7.4%
5 529
 
5.8%
8 410
 
4.5%
6 392
 
4.3%
9 383
 
4.2%
7 370
 
4.1%
Other Punctuation
ValueCountFrequency (%)
, 19
45.2%
. 12
28.6%
& 7
 
16.7%
/ 2
 
4.8%
' 2
 
4.8%
Dash Punctuation
ValueCountFrequency (%)
- 897
100.0%
Space Separator
ValueCountFrequency (%)
339
100.0%
Close Punctuation
ValueCountFrequency (%)
) 16
100.0%
Open Punctuation
ValueCountFrequency (%)
( 16
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 10429
79.3%
Latin 2726
 
20.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
K 292
 
10.7%
e 232
 
8.5%
Q 210
 
7.7%
X 185
 
6.8%
M 179
 
6.6%
n 130
 
4.8%
a 128
 
4.7%
t 111
 
4.1%
i 98
 
3.6%
r 97
 
3.6%
Other values (41) 1064
39.0%
Common
ValueCountFrequency (%)
0 3504
33.6%
1 1236
 
11.9%
- 897
 
8.6%
2 860
 
8.2%
3 761
 
7.3%
4 674
 
6.5%
5 529
 
5.1%
8 410
 
3.9%
6 392
 
3.8%
9 383
 
3.7%
Other values (9) 783
 
7.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 13155
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 3504
26.6%
1 1236
 
9.4%
- 897
 
6.8%
2 860
 
6.5%
3 761
 
5.8%
4 674
 
5.1%
5 529
 
4.0%
8 410
 
3.1%
6 392
 
3.0%
9 383
 
2.9%
Other values (60) 3509
26.7%
Distinct6
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size89.8 KiB
2023-12-09T21:01:32.633921image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length35
Median length35
Mean length34.832
Min length5

Characters and Unicode

Total characters34832
Distinct characters28
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique4 ?
Unique (%)0.4%

Sample

1st rowNot Applicable: Standalone Property
2nd rowNot Applicable: Standalone Property
3rd rowNot Applicable: Standalone Property
4th rowNot Applicable: Standalone Property
5th rowNot Applicable: Standalone Property
ValueCountFrequency (%)
not 994
25.0%
applicable 994
25.0%
standalone 994
25.0%
property 994
25.0%
15143466 2
 
0.1%
15101892 1
 
< 0.1%
16089229 1
 
< 0.1%
28400 1
 
< 0.1%
28402 1
 
< 0.1%
2023-12-09T21:01:32.951307image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
t 2982
 
8.6%
2982
 
8.6%
p 2982
 
8.6%
l 2982
 
8.6%
a 2982
 
8.6%
e 2982
 
8.6%
o 2982
 
8.6%
n 1988
 
5.7%
r 1988
 
5.7%
S 994
 
2.9%
Other values (18) 8988
25.8%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 26838
77.0%
Uppercase Letter 3976
 
11.4%
Space Separator 2982
 
8.6%
Other Punctuation 994
 
2.9%
Decimal Number 42
 
0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
t 2982
11.1%
p 2982
11.1%
l 2982
11.1%
a 2982
11.1%
e 2982
11.1%
o 2982
11.1%
n 1988
7.4%
r 1988
7.4%
y 994
 
3.7%
d 994
 
3.7%
Other values (3) 2982
11.1%
Decimal Number
ValueCountFrequency (%)
1 8
19.0%
4 6
14.3%
2 6
14.3%
6 5
11.9%
0 5
11.9%
8 4
9.5%
5 3
 
7.1%
9 3
 
7.1%
3 2
 
4.8%
Uppercase Letter
ValueCountFrequency (%)
S 994
25.0%
P 994
25.0%
N 994
25.0%
A 994
25.0%
Space Separator
ValueCountFrequency (%)
2982
100.0%
Other Punctuation
ValueCountFrequency (%)
: 994
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 30814
88.5%
Common 4018
 
11.5%

Most frequent character per script

Latin
ValueCountFrequency (%)
t 2982
9.7%
p 2982
9.7%
l 2982
9.7%
a 2982
9.7%
e 2982
9.7%
o 2982
9.7%
n 1988
 
6.5%
r 1988
 
6.5%
S 994
 
3.2%
y 994
 
3.2%
Other values (7) 6958
22.6%
Common
ValueCountFrequency (%)
2982
74.2%
: 994
 
24.7%
1 8
 
0.2%
4 6
 
0.1%
2 6
 
0.1%
6 5
 
0.1%
0 5
 
0.1%
8 4
 
0.1%
5 3
 
0.1%
9 3
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 34832
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
t 2982
 
8.6%
2982
 
8.6%
p 2982
 
8.6%
l 2982
 
8.6%
a 2982
 
8.6%
e 2982
 
8.6%
o 2982
 
8.6%
n 1988
 
5.7%
r 1988
 
5.7%
S 994
 
2.9%
Other values (18) 8988
25.8%
Distinct6
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size89.9 KiB
2023-12-09T21:01:33.178531image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length39
Median length35
Mean length34.941
Min length11

Characters and Unicode

Total characters34941
Distinct characters44
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique4 ?
Unique (%)0.4%

Sample

1st rowNot Applicable: Standalone Property
2nd rowNot Applicable: Standalone Property
3rd rowNot Applicable: Standalone Property
4th rowNot Applicable: Standalone Property
5th rowNot Applicable: Standalone Property
ValueCountFrequency (%)
not 994
24.8%
standalone 994
24.8%
property 994
24.8%
applicable 994
24.8%
campus 3
 
0.1%
mskcc 2
 
< 0.1%
main 2
 
< 0.1%
campus/rrl/zrc 2
 
< 0.1%
nyp 2
 
< 0.1%
1
 
< 0.1%
Other values (13) 13
 
0.3%
2023-12-09T21:01:33.529351image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3001
 
8.6%
a 2992
 
8.6%
o 2989
 
8.6%
l 2987
 
8.5%
p 2987
 
8.5%
t 2986
 
8.5%
e 2984
 
8.5%
n 1991
 
5.7%
r 1990
 
5.7%
S 999
 
2.9%
Other values (34) 9035
25.9%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 26906
77.0%
Uppercase Letter 4024
 
11.5%
Space Separator 3001
 
8.6%
Other Punctuation 1000
 
2.9%
Decimal Number 6
 
< 0.1%
Open Punctuation 2
 
< 0.1%
Close Punctuation 2
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 2992
11.1%
o 2989
11.1%
l 2987
11.1%
p 2987
11.1%
t 2986
11.1%
e 2984
11.1%
n 1991
7.4%
r 1990
7.4%
i 998
 
3.7%
c 996
 
3.7%
Other values (9) 3006
11.2%
Uppercase Letter
ValueCountFrequency (%)
S 999
24.8%
P 997
24.8%
N 997
24.8%
A 994
24.7%
C 13
 
0.3%
R 6
 
0.1%
M 4
 
0.1%
Y 3
 
0.1%
W 3
 
0.1%
K 2
 
< 0.1%
Other values (4) 6
 
0.1%
Other Punctuation
ValueCountFrequency (%)
: 994
99.4%
/ 4
 
0.4%
& 1
 
0.1%
. 1
 
0.1%
Decimal Number
ValueCountFrequency (%)
2 2
33.3%
1 2
33.3%
4 1
16.7%
5 1
16.7%
Space Separator
ValueCountFrequency (%)
3001
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 30930
88.5%
Common 4011
 
11.5%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 2992
9.7%
o 2989
9.7%
l 2987
9.7%
p 2987
9.7%
t 2986
9.7%
e 2984
9.6%
n 1991
 
6.4%
r 1990
 
6.4%
S 999
 
3.2%
i 998
 
3.2%
Other values (23) 7027
22.7%
Common
ValueCountFrequency (%)
3001
74.8%
: 994
 
24.8%
/ 4
 
0.1%
( 2
 
< 0.1%
) 2
 
< 0.1%
2 2
 
< 0.1%
1 2
 
< 0.1%
& 1
 
< 0.1%
4 1
 
< 0.1%
. 1
 
< 0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 34941
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3001
 
8.6%
a 2992
 
8.6%
o 2989
 
8.6%
l 2987
 
8.5%
p 2987
 
8.5%
t 2986
 
8.5%
e 2984
 
8.5%
n 1991
 
5.7%
r 1990
 
5.7%
S 999
 
2.9%
Other values (34) 9035
25.9%

year_ending
Text

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size78.2 KiB
2023-12-09T21:01:33.715782image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length23
Median length23
Mean length23
Min length23

Characters and Unicode

Total characters23000
Distinct characters8
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2020-12-31T00:00:00.000
2nd row2020-12-31T00:00:00.000
3rd row2020-12-31T00:00:00.000
4th row2020-12-31T00:00:00.000
5th row2020-12-31T00:00:00.000
ValueCountFrequency (%)
2020-12-31t00:00:00.000 1000
100.0%
2023-12-09T21:01:34.016839image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 11000
47.8%
2 3000
 
13.0%
- 2000
 
8.7%
1 2000
 
8.7%
: 2000
 
8.7%
3 1000
 
4.3%
T 1000
 
4.3%
. 1000
 
4.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 17000
73.9%
Other Punctuation 3000
 
13.0%
Dash Punctuation 2000
 
8.7%
Uppercase Letter 1000
 
4.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 11000
64.7%
2 3000
 
17.6%
1 2000
 
11.8%
3 1000
 
5.9%
Other Punctuation
ValueCountFrequency (%)
: 2000
66.7%
. 1000
33.3%
Dash Punctuation
ValueCountFrequency (%)
- 2000
100.0%
Uppercase Letter
ValueCountFrequency (%)
T 1000
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 22000
95.7%
Latin 1000
 
4.3%

Most frequent character per script

Common
ValueCountFrequency (%)
0 11000
50.0%
2 3000
 
13.6%
- 2000
 
9.1%
1 2000
 
9.1%
: 2000
 
9.1%
3 1000
 
4.5%
. 1000
 
4.5%
Latin
ValueCountFrequency (%)
T 1000
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 23000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 11000
47.8%
2 3000
 
13.0%
- 2000
 
8.7%
1 2000
 
8.7%
: 2000
 
8.7%
3 1000
 
4.3%
T 1000
 
4.3%
. 1000
 
4.3%
Distinct999
Distinct (%)99.9%
Missing0
Missing (%)0.0%
Memory size65.8 KiB
2023-12-09T21:01:34.314580image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length68
Median length10
Mean length10.251
Min length10

Characters and Unicode

Total characters10251
Distinct characters28
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique998 ?
Unique (%)99.8%

Sample

1st row1009970029
2nd row1013150001
3rd row1009990019
4th row1013190047
5th row1009950005
ValueCountFrequency (%)
4071170130 2
 
0.2%
5011350001 1
 
0.1%
2029390093 1
 
0.1%
3048440001 1
 
0.1%
2033290124 1
 
0.1%
4076770001 1
 
0.1%
3042160001 1
 
0.1%
1010430022 1
 
0.1%
2036520001 1
 
0.1%
1-01290-0021 1
 
0.1%
Other values (998) 998
98.9%
2023-12-09T21:01:34.767023image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 3927
38.3%
1 1503
 
14.7%
2 919
 
9.0%
3 892
 
8.7%
4 726
 
7.1%
5 538
 
5.2%
7 425
 
4.1%
6 412
 
4.0%
8 378
 
3.7%
9 368
 
3.6%
Other values (18) 163
 
1.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 10088
98.4%
Dash Punctuation 126
 
1.2%
Other Punctuation 10
 
0.1%
Lowercase Letter 10
 
0.1%
Space Separator 9
 
0.1%
Uppercase Letter 8
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 3927
38.9%
1 1503
 
14.9%
2 919
 
9.1%
3 892
 
8.8%
4 726
 
7.2%
5 538
 
5.3%
7 425
 
4.2%
6 412
 
4.1%
8 378
 
3.7%
9 368
 
3.6%
Lowercase Letter
ValueCountFrequency (%)
a 2
20.0%
l 2
20.0%
v 1
10.0%
i 1
10.0%
b 1
10.0%
e 1
10.0%
t 1
10.0%
o 1
10.0%
Uppercase Letter
ValueCountFrequency (%)
K 2
25.0%
X 2
25.0%
M 2
25.0%
A 1
12.5%
N 1
12.5%
Other Punctuation
ValueCountFrequency (%)
; 5
50.0%
, 3
30.0%
/ 2
 
20.0%
Dash Punctuation
ValueCountFrequency (%)
- 126
100.0%
Space Separator
ValueCountFrequency (%)
9
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 10233
99.8%
Latin 18
 
0.2%

Most frequent character per script

Common
ValueCountFrequency (%)
0 3927
38.4%
1 1503
 
14.7%
2 919
 
9.0%
3 892
 
8.7%
4 726
 
7.1%
5 538
 
5.3%
7 425
 
4.2%
6 412
 
4.0%
8 378
 
3.7%
9 368
 
3.6%
Other values (5) 145
 
1.4%
Latin
ValueCountFrequency (%)
a 2
11.1%
K 2
11.1%
l 2
11.1%
X 2
11.1%
M 2
11.1%
v 1
 
5.6%
i 1
 
5.6%
A 1
 
5.6%
b 1
 
5.6%
e 1
 
5.6%
Other values (3) 3
16.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 10251
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 3927
38.3%
1 1503
 
14.7%
2 919
 
9.0%
3 892
 
8.7%
4 726
 
7.1%
5 538
 
5.2%
7 425
 
4.1%
6 412
 
4.0%
8 378
 
3.7%
9 368
 
3.6%
Other values (18) 163
 
1.6%
Distinct999
Distinct (%)99.9%
Missing0
Missing (%)0.0%
Memory size63.3 KiB
2023-12-09T21:01:35.121065image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length123
Median length7
Mean length7.71
Min length7

Characters and Unicode

Total characters7710
Distinct characters44
Distinct categories8 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique998 ?
Unique (%)99.8%

Sample

1st row1022631
2nd row1037545
3rd row1022667
4th row1037596
5th row1085682
ValueCountFrequency (%)
bldg 7
 
0.7%
main 7
 
0.7%
addition 4
 
0.4%
4153294 2
 
0.2%
bin 2
 
0.2%
additon 2
 
0.2%
1058470 1
 
0.1%
5026335 1
 
0.1%
4056455 1
 
0.1%
4529900 1
 
0.1%
Other values (1038) 1038
97.4%
2023-12-09T21:01:35.595522image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 1343
17.4%
1 984
12.8%
3 858
11.1%
4 829
10.8%
2 729
9.5%
5 576
7.5%
8 540
7.0%
6 531
 
6.9%
7 513
 
6.7%
9 467
 
6.1%
Other values (34) 340
 
4.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 7370
95.6%
Lowercase Letter 152
 
2.0%
Space Separator 67
 
0.9%
Other Punctuation 57
 
0.7%
Uppercase Letter 36
 
0.5%
Dash Punctuation 24
 
0.3%
Close Punctuation 2
 
< 0.1%
Open Punctuation 2
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
i 25
16.4%
d 25
16.4%
n 19
12.5%
a 16
10.5%
t 14
9.2%
o 12
7.9%
l 10
 
6.6%
b 8
 
5.3%
m 7
 
4.6%
g 7
 
4.6%
Other values (5) 9
 
5.9%
Uppercase Letter
ValueCountFrequency (%)
Q 8
22.2%
K 6
16.7%
X 4
11.1%
N 3
 
8.3%
A 3
 
8.3%
R 2
 
5.6%
B 2
 
5.6%
M 2
 
5.6%
I 2
 
5.6%
S 2
 
5.6%
Other values (2) 2
 
5.6%
Decimal Number
ValueCountFrequency (%)
0 1343
18.2%
1 984
13.4%
3 858
11.6%
4 829
11.2%
2 729
9.9%
5 576
7.8%
8 540
7.3%
6 531
 
7.2%
7 513
 
7.0%
9 467
 
6.3%
Other Punctuation
ValueCountFrequency (%)
; 32
56.1%
: 13
22.8%
, 12
 
21.1%
Space Separator
ValueCountFrequency (%)
67
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 24
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 7522
97.6%
Latin 188
 
2.4%

Most frequent character per script

Latin
ValueCountFrequency (%)
i 25
13.3%
d 25
13.3%
n 19
10.1%
a 16
 
8.5%
t 14
 
7.4%
o 12
 
6.4%
l 10
 
5.3%
Q 8
 
4.3%
b 8
 
4.3%
m 7
 
3.7%
Other values (17) 44
23.4%
Common
ValueCountFrequency (%)
0 1343
17.9%
1 984
13.1%
3 858
11.4%
4 829
11.0%
2 729
9.7%
5 576
7.7%
8 540
7.2%
6 531
 
7.1%
7 513
 
6.8%
9 467
 
6.2%
Other values (7) 152
 
2.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 7710
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 1343
17.4%
1 984
12.8%
3 858
11.1%
4 829
10.8%
2 729
9.5%
5 576
7.5%
8 540
7.0%
6 531
 
6.9%
7 513
 
6.7%
9 467
 
6.1%
Other values (34) 340
 
4.4%
Distinct999
Distinct (%)99.9%
Missing0
Missing (%)0.0%
Memory size73.9 KiB
2023-12-09T21:01:36.032746image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length33
Median length28
Mean length18.551
Min length11

Characters and Unicode

Total characters18551
Distinct characters66
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique998 ?
Unique (%)99.8%

Sample

1st row1155 Avenue of the Americas
2nd row200 East 42nd St.
3rd row114 West 47th st
4th row733 Third Avenue
5th row4 Times Square
ValueCountFrequency (%)
avenue 448
 
13.8%
street 369
 
11.3%
east 98
 
3.0%
west 72
 
2.2%
road 35
 
1.1%
boulevard 31
 
1.0%
place 29
 
0.9%
park 21
 
0.6%
ave 17
 
0.5%
madison 16
 
0.5%
Other values (1372) 2117
65.1%
2023-12-09T21:01:36.609908image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2265
 
12.2%
e 2253
 
12.1%
t 1471
 
7.9%
1 885
 
4.8%
n 856
 
4.6%
r 824
 
4.4%
0 675
 
3.6%
a 614
 
3.3%
u 565
 
3.0%
v 529
 
2.9%
Other values (56) 7614
41.0%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9862
53.2%
Decimal Number 4260
23.0%
Space Separator 2265
 
12.2%
Uppercase Letter 1945
 
10.5%
Dash Punctuation 203
 
1.1%
Other Punctuation 16
 
0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 2253
22.8%
t 1471
14.9%
n 856
 
8.7%
r 824
 
8.4%
a 614
 
6.2%
u 565
 
5.7%
v 529
 
5.4%
s 411
 
4.2%
o 402
 
4.1%
h 374
 
3.8%
Other values (16) 1563
15.8%
Uppercase Letter
ValueCountFrequency (%)
A 511
26.3%
S 445
22.9%
E 136
 
7.0%
W 116
 
6.0%
P 108
 
5.6%
B 102
 
5.2%
R 65
 
3.3%
H 59
 
3.0%
M 55
 
2.8%
C 50
 
2.6%
Other values (15) 298
15.3%
Decimal Number
ValueCountFrequency (%)
1 885
20.8%
0 675
15.8%
2 511
12.0%
5 490
11.5%
3 354
 
8.3%
4 337
 
7.9%
7 278
 
6.5%
6 254
 
6.0%
8 249
 
5.8%
9 227
 
5.3%
Other Punctuation
ValueCountFrequency (%)
. 12
75.0%
' 3
 
18.8%
# 1
 
6.2%
Space Separator
ValueCountFrequency (%)
2265
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 203
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11807
63.6%
Common 6744
36.4%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 2253
19.1%
t 1471
12.5%
n 856
 
7.2%
r 824
 
7.0%
a 614
 
5.2%
u 565
 
4.8%
v 529
 
4.5%
A 511
 
4.3%
S 445
 
3.8%
s 411
 
3.5%
Other values (41) 3328
28.2%
Common
ValueCountFrequency (%)
2265
33.6%
1 885
 
13.1%
0 675
 
10.0%
2 511
 
7.6%
5 490
 
7.3%
3 354
 
5.2%
4 337
 
5.0%
7 278
 
4.1%
6 254
 
3.8%
8 249
 
3.7%
Other values (5) 446
 
6.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 18551
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2265
 
12.2%
e 2253
 
12.1%
t 1471
 
7.9%
1 885
 
4.8%
n 856
 
4.6%
r 824
 
4.4%
0 675
 
3.6%
a 614
 
3.3%
u 565
 
3.0%
v 529
 
2.9%
Other values (56) 7614
41.0%

city
Text

Distinct21
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Memory size63.0 KiB
2023-12-09T21:01:36.812864image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length19
Median length8
Mean length7.366
Min length5

Characters and Unicode

Total characters7366
Distinct characters42
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique9 ?
Unique (%)0.9%

Sample

1st rowManhattan
2nd rowManhattan
3rd rowManhattan
4th rowManhattan
5th rowManhattan
ValueCountFrequency (%)
brooklyn 292
22.2%
york 254
19.3%
new 254
19.3%
queens 204
15.5%
bronx 184
14.0%
island 53
 
4.0%
staten 51
 
3.9%
city 6
 
0.5%
manhattan 5
 
0.4%
meadows 2
 
0.2%
Other values (9) 12
 
0.9%
2023-12-09T21:01:37.132056image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
o 1021
13.9%
n 792
10.8%
r 729
 
9.9%
e 716
 
9.7%
k 543
 
7.4%
B 477
 
6.5%
l 342
 
4.6%
317
 
4.3%
y 296
 
4.0%
N 266
 
3.6%
Other values (32) 1867
25.3%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 5656
76.8%
Uppercase Letter 1392
 
18.9%
Space Separator 317
 
4.3%
Dash Punctuation 1
 
< 0.1%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
B 477
34.3%
N 266
19.1%
Y 256
18.4%
Q 204
14.7%
S 55
 
4.0%
I 55
 
4.0%
O 10
 
0.7%
L 10
 
0.7%
M 9
 
0.6%
T 7
 
0.5%
Other values (13) 43
 
3.1%
Lowercase Letter
ValueCountFrequency (%)
o 1021
18.1%
n 792
14.0%
r 729
12.9%
e 716
12.7%
k 543
9.6%
l 342
 
6.0%
y 296
 
5.2%
s 261
 
4.6%
w 255
 
4.5%
u 206
 
3.6%
Other values (7) 495
8.8%
Space Separator
ValueCountFrequency (%)
317
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 7048
95.7%
Common 318
 
4.3%

Most frequent character per script

Latin
ValueCountFrequency (%)
o 1021
14.5%
n 792
11.2%
r 729
10.3%
e 716
10.2%
k 543
 
7.7%
B 477
 
6.8%
l 342
 
4.9%
y 296
 
4.2%
N 266
 
3.8%
s 261
 
3.7%
Other values (30) 1605
22.8%
Common
ValueCountFrequency (%)
317
99.7%
- 1
 
0.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 7366
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
o 1021
13.9%
n 792
10.8%
r 729
 
9.9%
e 716
 
9.7%
k 543
 
7.4%
B 477
 
6.5%
l 342
 
4.6%
317
 
4.3%
y 296
 
4.0%
N 266
 
3.6%
Other values (32) 1867
25.3%
Distinct183
Distinct (%)18.3%
Missing0
Missing (%)0.0%
Memory size60.7 KiB
2023-12-09T21:01:37.537578image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length5
Median length5
Mean length5
Min length5

Characters and Unicode

Total characters5000
Distinct characters10
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique29 ?
Unique (%)2.9%

Sample

1st row10036
2nd row10017
3rd row10036
4th row10017
5th row10036
ValueCountFrequency (%)
10022 25
 
2.5%
10457 20
 
2.0%
10002 18
 
1.8%
11207 17
 
1.7%
10019 17
 
1.7%
10456 17
 
1.7%
10029 15
 
1.5%
11212 15
 
1.5%
10460 15
 
1.5%
11233 14
 
1.4%
Other values (173) 827
82.7%
2023-12-09T21:01:38.054244image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 1828
36.6%
0 995
19.9%
2 578
 
11.6%
3 412
 
8.2%
4 372
 
7.4%
5 226
 
4.5%
6 223
 
4.5%
7 172
 
3.4%
9 98
 
2.0%
8 96
 
1.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 5000
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 1828
36.6%
0 995
19.9%
2 578
 
11.6%
3 412
 
8.2%
4 372
 
7.4%
5 226
 
4.5%
6 223
 
4.5%
7 172
 
3.4%
9 98
 
2.0%
8 96
 
1.9%

Most occurring scripts

ValueCountFrequency (%)
Common 5000
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 1828
36.6%
0 995
19.9%
2 578
 
11.6%
3 412
 
8.2%
4 372
 
7.4%
5 226
 
4.5%
6 223
 
4.5%
7 172
 
3.4%
9 98
 
2.0%
8 96
 
1.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 5000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 1828
36.6%
0 995
19.9%
2 578
 
11.6%
3 412
 
8.2%
4 372
 
7.4%
5 226
 
4.5%
6 223
 
4.5%
7 172
 
3.4%
9 98
 
2.0%
8 96
 
1.9%
Distinct16
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size66.4 KiB
2023-12-09T21:01:38.273384image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length37
Median length11
Mean length10.88
Min length5

Characters and Unicode

Total characters10880
Distinct characters44
Distinct categories8 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique5 ?
Unique (%)0.5%

Sample

1st rowOffice
2nd rowOffice
3rd rowFinancial Office
4th rowOffice
5th rowOffice
ValueCountFrequency (%)
school 870
45.1%
k-12 869
45.0%
office 94
 
4.9%
retail 14
 
0.7%
store 14
 
0.7%
financial 8
 
0.4%
medical 5
 
0.3%
surgical 5
 
0.3%
5
 
0.3%
general 5
 
0.3%
Other values (21) 41
 
2.1%
2023-12-09T21:01:38.614275image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
o 1780
16.4%
c 985
9.1%
930
8.5%
l 923
8.5%
S 893
8.2%
h 873
8.0%
- 870
8.0%
K 869
8.0%
1 869
8.0%
2 869
8.0%
Other values (34) 1019
9.4%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 5389
49.5%
Uppercase Letter 1931
 
17.7%
Decimal Number 1738
 
16.0%
Space Separator 930
 
8.5%
Dash Punctuation 870
 
8.0%
Other Punctuation 10
 
0.1%
Close Punctuation 6
 
0.1%
Open Punctuation 6
 
0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
o 1780
33.0%
c 985
18.3%
l 923
17.1%
h 873
16.2%
f 191
 
3.5%
i 170
 
3.2%
e 166
 
3.1%
a 65
 
1.2%
t 58
 
1.1%
r 45
 
0.8%
Other values (11) 133
 
2.5%
Uppercase Letter
ValueCountFrequency (%)
S 893
46.2%
K 869
45.0%
O 99
 
5.1%
R 15
 
0.8%
M 10
 
0.5%
H 9
 
0.5%
C 8
 
0.4%
F 8
 
0.4%
L 5
 
0.3%
G 5
 
0.3%
Other values (5) 10
 
0.5%
Decimal Number
ValueCountFrequency (%)
1 869
50.0%
2 869
50.0%
Other Punctuation
ValueCountFrequency (%)
& 5
50.0%
/ 5
50.0%
Space Separator
ValueCountFrequency (%)
930
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 870
100.0%
Close Punctuation
ValueCountFrequency (%)
) 6
100.0%
Open Punctuation
ValueCountFrequency (%)
( 6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 7320
67.3%
Common 3560
32.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
o 1780
24.3%
c 985
13.5%
l 923
12.6%
S 893
12.2%
h 873
11.9%
K 869
11.9%
f 191
 
2.6%
i 170
 
2.3%
e 166
 
2.3%
O 99
 
1.4%
Other values (26) 371
 
5.1%
Common
ValueCountFrequency (%)
930
26.1%
- 870
24.4%
1 869
24.4%
2 869
24.4%
) 6
 
0.2%
( 6
 
0.2%
& 5
 
0.1%
/ 5
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 10880
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
o 1780
16.4%
c 985
9.1%
930
8.5%
l 923
8.5%
S 893
8.2%
h 873
8.0%
- 870
8.0%
K 869
8.0%
1 869
8.0%
2 869
8.0%
Other values (34) 1019
9.4%
Distinct18
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Memory size66.4 KiB
2023-12-09T21:01:38.829038image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length37
Median length11
Mean length10.879
Min length5

Characters and Unicode

Total characters10879
Distinct characters45
Distinct categories8 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique8 ?
Unique (%)0.8%

Sample

1st rowOffice
2nd rowOffice
3rd rowFinancial Office
4th rowOffice
5th rowOffice
ValueCountFrequency (%)
school 867
44.9%
k-12 866
44.8%
office 95
 
4.9%
retail 14
 
0.7%
store 14
 
0.7%
financial 8
 
0.4%
7
 
0.4%
hospital 6
 
0.3%
general 5
 
0.3%
medical 5
 
0.3%
Other values (24) 45
 
2.3%
2023-12-09T21:01:39.180400image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
o 1777
16.3%
c 984
9.0%
932
8.6%
l 921
8.5%
S 891
8.2%
h 871
8.0%
- 869
8.0%
K 866
8.0%
2 866
8.0%
1 866
8.0%
Other values (35) 1036
9.5%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 5397
49.6%
Uppercase Letter 1929
 
17.7%
Decimal Number 1732
 
15.9%
Space Separator 932
 
8.6%
Dash Punctuation 869
 
8.0%
Other Punctuation 8
 
0.1%
Open Punctuation 6
 
0.1%
Close Punctuation 6
 
0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
o 1777
32.9%
c 984
18.2%
l 921
17.1%
h 871
16.1%
f 193
 
3.6%
i 172
 
3.2%
e 169
 
3.1%
a 66
 
1.2%
t 59
 
1.1%
r 46
 
0.9%
Other values (11) 139
 
2.6%
Uppercase Letter
ValueCountFrequency (%)
S 891
46.2%
K 866
44.9%
O 100
 
5.2%
R 15
 
0.8%
M 11
 
0.6%
H 10
 
0.5%
F 8
 
0.4%
C 6
 
0.3%
U 5
 
0.3%
G 5
 
0.3%
Other values (6) 12
 
0.6%
Decimal Number
ValueCountFrequency (%)
2 866
50.0%
1 866
50.0%
Other Punctuation
ValueCountFrequency (%)
& 5
62.5%
/ 3
37.5%
Space Separator
ValueCountFrequency (%)
932
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 869
100.0%
Open Punctuation
ValueCountFrequency (%)
( 6
100.0%
Close Punctuation
ValueCountFrequency (%)
) 6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 7326
67.3%
Common 3553
32.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
o 1777
24.3%
c 984
13.4%
l 921
12.6%
S 891
12.2%
h 871
11.9%
K 866
11.8%
f 193
 
2.6%
i 172
 
2.3%
e 169
 
2.3%
O 100
 
1.4%
Other values (27) 382
 
5.2%
Common
ValueCountFrequency (%)
932
26.2%
- 869
24.5%
2 866
24.4%
1 866
24.4%
( 6
 
0.2%
) 6
 
0.2%
& 5
 
0.1%
/ 3
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 10879
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
o 1777
16.3%
c 984
9.0%
932
8.6%
l 921
8.5%
S 891
8.2%
h 871
8.0%
- 869
8.0%
K 866
8.0%
2 866
8.0%
1 866
8.0%
Other values (35) 1036
9.5%
Distinct15
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size92.4 KiB
2023-12-09T21:01:39.375963image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length40
Median length39
Mean length37.497
Min length11

Characters and Unicode

Total characters37497
Distinct characters41
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique4 ?
Unique (%)0.4%

Sample

1st rowCBECS - Office & Bank/Financial
2nd rowCBECS - Office & Bank/Financial
3rd rowCBECS - Office & Bank/Financial
4th rowCBECS - Office & Bank/Financial
5th rowCBECS - Office & Bank/Financial
ValueCountFrequency (%)
1955
33.7%
cbecs 990
17.0%
elementary/middle 866
14.9%
high 866
14.9%
school 866
14.9%
office 95
 
1.6%
bank/financial 95
 
1.6%
store 14
 
0.2%
retail 14
 
0.2%
survey 10
 
0.2%
Other values (18) 37
 
0.6%
2023-12-09T21:01:39.697996image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4808
 
12.8%
e 2756
 
7.3%
l 2723
 
7.3%
i 2048
 
5.5%
C 1982
 
5.3%
S 1885
 
5.0%
E 1863
 
5.0%
o 1759
 
4.7%
d 1740
 
4.6%
h 1737
 
4.6%
Other values (31) 14196
37.9%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 20974
55.9%
Uppercase Letter 8794
23.5%
Space Separator 4808
 
12.8%
Other Punctuation 1928
 
5.1%
Dash Punctuation 993
 
2.6%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 2756
13.1%
l 2723
13.0%
i 2048
9.8%
o 1759
8.4%
d 1740
8.3%
h 1737
8.3%
a 1183
 
5.6%
n 1172
 
5.6%
c 1062
 
5.1%
t 920
 
4.4%
Other values (11) 3874
18.5%
Uppercase Letter
ValueCountFrequency (%)
C 1982
22.5%
S 1885
21.4%
E 1863
21.2%
B 1085
12.3%
H 874
9.9%
M 872
9.9%
O 99
 
1.1%
F 97
 
1.1%
R 15
 
0.2%
I 8
 
0.1%
Other values (6) 14
 
0.2%
Other Punctuation
ValueCountFrequency (%)
/ 965
50.1%
& 963
49.9%
Space Separator
ValueCountFrequency (%)
4808
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 993
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 29768
79.4%
Common 7729
 
20.6%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 2756
 
9.3%
l 2723
 
9.1%
i 2048
 
6.9%
C 1982
 
6.7%
S 1885
 
6.3%
E 1863
 
6.3%
o 1759
 
5.9%
d 1740
 
5.8%
h 1737
 
5.8%
a 1183
 
4.0%
Other values (27) 10092
33.9%
Common
ValueCountFrequency (%)
4808
62.2%
- 993
 
12.8%
/ 965
 
12.5%
& 963
 
12.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 37497
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
4808
 
12.8%
e 2756
 
7.3%
l 2723
 
7.3%
i 2048
 
5.5%
C 1982
 
5.3%
S 1885
 
5.0%
E 1863
 
5.0%
o 1759
 
4.7%
d 1740
 
4.6%
h 1737
 
4.6%
Other values (31) 14196
37.9%
Distinct91
Distinct (%)9.1%
Missing0
Missing (%)0.0%
Memory size70.5 KiB
2023-12-09T21:01:39.921980image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length164
Median length11
Mean length15.067
Min length5

Characters and Unicode

Total characters15067
Distinct characters51
Distinct categories8 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique72 ?
Unique (%)7.2%

Sample

1st rowBank Branch, Office
2nd rowBank Branch, Office, Retail Store
3rd rowFinancial Office
4th rowOffice
5th rowOffice, Retail Store
ValueCountFrequency (%)
school 868
35.3%
k-12 867
35.3%
office 130
 
5.3%
store 51
 
2.1%
retail 46
 
1.9%
restaurant 38
 
1.5%
data 34
 
1.4%
center 34
 
1.4%
parking 32
 
1.3%
financial 29
 
1.2%
Other values (65) 327
 
13.3%
2023-12-09T21:01:40.331475image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
o 1934
12.8%
1456
 
9.7%
c 1095
 
7.3%
l 1049
 
7.0%
S 973
 
6.5%
h 929
 
6.2%
- 880
 
5.8%
K 867
 
5.8%
1 867
 
5.8%
2 867
 
5.8%
Other values (41) 4150
27.5%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 8203
54.4%
Uppercase Letter 2464
 
16.4%
Decimal Number 1734
 
11.5%
Space Separator 1456
 
9.7%
Dash Punctuation 880
 
5.8%
Other Punctuation 314
 
2.1%
Open Punctuation 8
 
0.1%
Close Punctuation 8
 
0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
o 1934
23.6%
c 1095
13.3%
l 1049
12.8%
h 929
11.3%
e 546
 
6.7%
a 448
 
5.5%
i 413
 
5.0%
t 392
 
4.8%
n 305
 
3.7%
r 277
 
3.4%
Other values (12) 815
9.9%
Uppercase Letter
ValueCountFrequency (%)
S 973
39.5%
K 867
35.2%
O 158
 
6.4%
R 90
 
3.7%
P 66
 
2.7%
F 64
 
2.6%
C 56
 
2.3%
B 49
 
2.0%
H 47
 
1.9%
D 39
 
1.6%
Other values (9) 55
 
2.2%
Other Punctuation
ValueCountFrequency (%)
, 279
88.9%
/ 28
 
8.9%
& 5
 
1.6%
. 2
 
0.6%
Decimal Number
ValueCountFrequency (%)
1 867
50.0%
2 867
50.0%
Space Separator
ValueCountFrequency (%)
1456
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 880
100.0%
Open Punctuation
ValueCountFrequency (%)
( 8
100.0%
Close Punctuation
ValueCountFrequency (%)
) 8
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 10667
70.8%
Common 4400
29.2%

Most frequent character per script

Latin
ValueCountFrequency (%)
o 1934
18.1%
c 1095
10.3%
l 1049
9.8%
S 973
9.1%
h 929
8.7%
K 867
8.1%
e 546
 
5.1%
a 448
 
4.2%
i 413
 
3.9%
t 392
 
3.7%
Other values (31) 2021
18.9%
Common
ValueCountFrequency (%)
1456
33.1%
- 880
20.0%
1 867
19.7%
2 867
19.7%
, 279
 
6.3%
/ 28
 
0.6%
( 8
 
0.2%
) 8
 
0.2%
& 5
 
0.1%
. 2
 
< 0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 15067
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
o 1934
12.8%
1456
 
9.7%
c 1095
 
7.3%
l 1049
 
7.0%
S 973
 
6.5%
h 929
 
6.2%
- 880
 
5.8%
K 867
 
5.8%
1 867
 
5.8%
2 867
 
5.8%
Other values (41) 4150
27.5%
Distinct17
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Memory size66.4 KiB
2023-12-09T21:01:40.541455image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length37
Median length11
Mean length10.843
Min length5

Characters and Unicode

Total characters10843
Distinct characters43
Distinct categories8 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique8 ?
Unique (%)0.8%

Sample

1st rowOffice
2nd rowOffice
3rd rowFinancial Office
4th rowOffice
5th rowOffice
ValueCountFrequency (%)
school 867
45.0%
k-12 866
45.0%
office 98
 
5.1%
retail 14
 
0.7%
store 14
 
0.7%
financial 8
 
0.4%
7
 
0.4%
hospital 6
 
0.3%
general 5
 
0.3%
medical 5
 
0.3%
Other values (21) 36
 
1.9%
2023-12-09T21:01:40.885362image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
o 1774
16.4%
c 987
9.1%
926
8.5%
l 921
8.5%
S 891
8.2%
h 871
8.0%
- 869
8.0%
K 866
8.0%
1 866
8.0%
2 866
8.0%
Other values (33) 1006
9.3%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 5373
49.6%
Uppercase Letter 1923
 
17.7%
Decimal Number 1732
 
16.0%
Space Separator 926
 
8.5%
Dash Punctuation 869
 
8.0%
Other Punctuation 8
 
0.1%
Close Punctuation 6
 
0.1%
Open Punctuation 6
 
0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
o 1774
33.0%
c 987
18.4%
l 921
17.1%
h 871
16.2%
f 199
 
3.7%
i 172
 
3.2%
e 163
 
3.0%
a 66
 
1.2%
t 56
 
1.0%
r 40
 
0.7%
Other values (10) 124
 
2.3%
Uppercase Letter
ValueCountFrequency (%)
S 891
46.3%
K 866
45.0%
O 103
 
5.4%
R 15
 
0.8%
H 10
 
0.5%
M 8
 
0.4%
F 8
 
0.4%
C 6
 
0.3%
G 5
 
0.3%
L 5
 
0.3%
Other values (5) 6
 
0.3%
Decimal Number
ValueCountFrequency (%)
1 866
50.0%
2 866
50.0%
Other Punctuation
ValueCountFrequency (%)
& 5
62.5%
/ 3
37.5%
Space Separator
ValueCountFrequency (%)
926
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 869
100.0%
Close Punctuation
ValueCountFrequency (%)
) 6
100.0%
Open Punctuation
ValueCountFrequency (%)
( 6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 7296
67.3%
Common 3547
32.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
o 1774
24.3%
c 987
13.5%
l 921
12.6%
S 891
12.2%
h 871
11.9%
K 866
11.9%
f 199
 
2.7%
i 172
 
2.4%
e 163
 
2.2%
O 103
 
1.4%
Other values (25) 349
 
4.8%
Common
ValueCountFrequency (%)
926
26.1%
- 869
24.5%
1 866
24.4%
2 866
24.4%
) 6
 
0.2%
( 6
 
0.2%
& 5
 
0.1%
/ 3
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 10843
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
o 1774
16.4%
c 987
9.1%
926
8.5%
l 921
8.5%
S 891
8.2%
h 871
8.0%
- 869
8.0%
K 866
8.0%
1 866
8.0%
2 866
8.0%
Other values (33) 1006
9.3%
Distinct720
Distinct (%)72.0%
Missing0
Missing (%)0.0%
Memory size61.3 KiB
2023-12-09T21:01:41.314353image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length9
Median length6
Mean length5.685
Min length4

Characters and Unicode

Total characters5685
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique564 ?
Unique (%)56.4%

Sample

1st row681611
2nd row366528
3rd row577534
4th row390878
5th row1539113
ValueCountFrequency (%)
96000 8
 
0.8%
110400 8
 
0.8%
93600 8
 
0.8%
106800 7
 
0.7%
147600 6
 
0.6%
108000 6
 
0.6%
109200 6
 
0.6%
122400 6
 
0.6%
104400 6
 
0.6%
97200 5
 
0.5%
Other values (710) 934
93.4%
2023-12-09T21:01:41.880493image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 1507
26.5%
1 815
14.3%
2 538
 
9.5%
8 482
 
8.5%
6 460
 
8.1%
5 447
 
7.9%
4 393
 
6.9%
7 355
 
6.2%
3 348
 
6.1%
9 332
 
5.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 5677
99.9%
Other Punctuation 8
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1507
26.5%
1 815
14.4%
2 538
 
9.5%
8 482
 
8.5%
6 460
 
8.1%
5 447
 
7.9%
4 393
 
6.9%
7 355
 
6.3%
3 348
 
6.1%
9 332
 
5.8%
Other Punctuation
ValueCountFrequency (%)
. 8
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 5685
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 1507
26.5%
1 815
14.3%
2 538
 
9.5%
8 482
 
8.5%
6 460
 
8.1%
5 447
 
7.9%
4 393
 
6.9%
7 355
 
6.2%
3 348
 
6.1%
9 332
 
5.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 5685
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 1507
26.5%
1 815
14.3%
2 538
 
9.5%
8 482
 
8.5%
6 460
 
8.1%
5 447
 
7.9%
4 393
 
6.9%
7 355
 
6.2%
3 348
 
6.1%
9 332
 
5.8%
Distinct24
Distinct (%)2.4%
Missing0
Missing (%)0.0%
Memory size68.5 KiB
2023-12-09T21:01:42.138303image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length37
Median length13
Mean length13.043
Min length5

Characters and Unicode

Total characters13043
Distinct characters40
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique9 ?
Unique (%)0.9%

Sample

1st rowBank Branch
2nd rowRetail Store
3rd rowNot Available
4th rowNot Available
5th rowRetail Store
ValueCountFrequency (%)
not 874
43.9%
available 874
43.9%
heated 23
 
1.2%
swimming 23
 
1.2%
pool 23
 
1.2%
office 22
 
1.1%
parking 17
 
0.9%
retail 16
 
0.8%
store 16
 
0.8%
financial 14
 
0.7%
Other values (30) 90
 
4.5%
2023-12-09T21:01:42.520659image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1900
14.6%
l 1823
14.0%
e 1045
8.0%
i 1026
7.9%
t 999
7.7%
992
7.6%
o 955
7.3%
b 881
6.8%
v 878
6.7%
A 877
6.7%
Other values (30) 1667
12.8%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 10043
77.0%
Uppercase Letter 1997
 
15.3%
Space Separator 992
 
7.6%
Other Punctuation 8
 
0.1%
Dash Punctuation 3
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 1900
18.9%
l 1823
18.2%
e 1045
10.4%
i 1026
10.2%
t 999
9.9%
o 955
9.5%
b 881
8.8%
v 878
8.7%
n 115
 
1.1%
r 82
 
0.8%
Other values (11) 339
 
3.4%
Uppercase Letter
ValueCountFrequency (%)
A 877
43.9%
N 874
43.8%
S 44
 
2.2%
P 44
 
2.2%
O 30
 
1.5%
H 30
 
1.5%
R 27
 
1.4%
F 23
 
1.2%
C 14
 
0.7%
D 12
 
0.6%
Other values (6) 22
 
1.1%
Space Separator
ValueCountFrequency (%)
992
100.0%
Other Punctuation
ValueCountFrequency (%)
/ 8
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 12040
92.3%
Common 1003
 
7.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 1900
15.8%
l 1823
15.1%
e 1045
8.7%
i 1026
8.5%
t 999
8.3%
o 955
7.9%
b 881
7.3%
v 878
7.3%
A 877
7.3%
N 874
7.3%
Other values (27) 782
6.5%
Common
ValueCountFrequency (%)
992
98.9%
/ 8
 
0.8%
- 3
 
0.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 13043
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1900
14.6%
l 1823
14.0%
e 1045
8.0%
i 1026
7.9%
t 999
7.7%
992
7.6%
o 955
7.3%
b 881
6.8%
v 878
6.7%
A 877
6.7%
Other values (30) 1667
12.8%
Distinct99
Distinct (%)9.9%
Missing0
Missing (%)0.0%
Memory size67.4 KiB
2023-12-09T21:01:42.883562image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length11.879
Min length1

Characters and Unicode

Total characters11879
Distinct characters22
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique97 ?
Unique (%)9.7%

Sample

1st row5227
2nd row15789
3rd rowNot Available
4th rowNot Available
5th row62864
ValueCountFrequency (%)
not 874
46.6%
available 874
46.6%
0 29
 
1.5%
30996 1
 
0.1%
26313 1
 
0.1%
378759 1
 
0.1%
591640 1
 
0.1%
15450 1
 
0.1%
13540 1
 
0.1%
109276 1
 
0.1%
Other values (90) 90
 
4.8%
2023-12-09T21:01:43.381921image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1748
14.7%
l 1748
14.7%
N 874
7.4%
o 874
7.4%
t 874
7.4%
874
7.4%
A 874
7.4%
v 874
7.4%
i 874
7.4%
b 874
7.4%
Other values (12) 1391
11.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 8740
73.6%
Uppercase Letter 1748
 
14.7%
Space Separator 874
 
7.4%
Decimal Number 516
 
4.3%
Other Punctuation 1
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 94
18.2%
1 65
12.6%
2 51
9.9%
3 48
9.3%
9 47
9.1%
6 46
8.9%
5 45
8.7%
4 43
8.3%
7 40
7.8%
8 37
 
7.2%
Lowercase Letter
ValueCountFrequency (%)
a 1748
20.0%
l 1748
20.0%
o 874
10.0%
t 874
10.0%
v 874
10.0%
i 874
10.0%
b 874
10.0%
e 874
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 874
50.0%
A 874
50.0%
Space Separator
ValueCountFrequency (%)
874
100.0%
Other Punctuation
ValueCountFrequency (%)
. 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 10488
88.3%
Common 1391
 
11.7%

Most frequent character per script

Common
ValueCountFrequency (%)
874
62.8%
0 94
 
6.8%
1 65
 
4.7%
2 51
 
3.7%
3 48
 
3.5%
9 47
 
3.4%
6 46
 
3.3%
5 45
 
3.2%
4 43
 
3.1%
7 40
 
2.9%
Other values (2) 38
 
2.7%
Latin
ValueCountFrequency (%)
a 1748
16.7%
l 1748
16.7%
N 874
8.3%
o 874
8.3%
t 874
8.3%
A 874
8.3%
v 874
8.3%
i 874
8.3%
b 874
8.3%
e 874
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 11879
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1748
14.7%
l 1748
14.7%
N 874
7.4%
o 874
7.4%
t 874
7.4%
874
7.4%
A 874
7.4%
v 874
7.4%
i 874
7.4%
b 874
7.4%
Other values (12) 1391
11.7%
Distinct18
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Memory size68.4 KiB
2023-12-09T21:01:43.625217image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length37
Median length13
Mean length12.922
Min length5

Characters and Unicode

Total characters12922
Distinct characters39
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique8 ?
Unique (%)0.8%

Sample

1st rowNot Available
2nd rowBank Branch
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 932
47.0%
available 932
47.0%
parking 11
 
0.6%
bank 11
 
0.6%
branch 11
 
0.6%
store 10
 
0.5%
retail 9
 
0.5%
data 9
 
0.5%
center 9
 
0.5%
other 9
 
0.5%
Other values (21) 41
 
2.1%
2023-12-09T21:01:43.998932image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1959
15.2%
l 1887
14.6%
e 1013
7.8%
t 1006
7.8%
984
7.6%
i 974
7.5%
o 956
7.4%
v 936
7.2%
A 935
7.2%
b 935
7.2%
Other values (29) 1337
10.3%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9942
76.9%
Uppercase Letter 1985
 
15.4%
Space Separator 984
 
7.6%
Other Punctuation 6
 
< 0.1%
Dash Punctuation 5
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 1959
19.7%
l 1887
19.0%
e 1013
10.2%
t 1006
10.1%
i 974
9.8%
o 956
9.6%
v 936
9.4%
b 935
9.4%
r 70
 
0.7%
n 67
 
0.7%
Other values (12) 139
 
1.4%
Uppercase Letter
ValueCountFrequency (%)
A 935
47.1%
N 932
47.0%
B 26
 
1.3%
R 18
 
0.9%
S 15
 
0.8%
O 14
 
0.7%
P 13
 
0.7%
C 11
 
0.6%
D 10
 
0.5%
F 6
 
0.3%
Other values (4) 5
 
0.3%
Space Separator
ValueCountFrequency (%)
984
100.0%
Other Punctuation
ValueCountFrequency (%)
/ 6
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11927
92.3%
Common 995
 
7.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 1959
16.4%
l 1887
15.8%
e 1013
8.5%
t 1006
8.4%
i 974
8.2%
o 956
8.0%
v 936
7.8%
A 935
7.8%
b 935
7.8%
N 932
7.8%
Other values (26) 394
 
3.3%
Common
ValueCountFrequency (%)
984
98.9%
/ 6
 
0.6%
- 5
 
0.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12922
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1959
15.2%
l 1887
14.6%
e 1013
7.8%
t 1006
7.8%
984
7.6%
i 974
7.5%
o 956
7.4%
v 936
7.2%
A 935
7.2%
b 935
7.2%
Other values (29) 1337
10.3%
Distinct67
Distinct (%)6.7%
Missing0
Missing (%)0.0%
Memory size67.9 KiB
2023-12-09T21:01:44.310840image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.414
Min length1

Characters and Unicode

Total characters12414
Distinct characters21
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique65 ?
Unique (%)6.5%

Sample

1st rowNot Available
2nd row2115
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 932
48.2%
available 932
48.2%
0 3
 
0.2%
44054 1
 
0.1%
12942 1
 
0.1%
16957 1
 
0.1%
141251 1
 
0.1%
52519 1
 
0.1%
545530 1
 
0.1%
7500 1
 
0.1%
Other values (58) 58
 
3.0%
2023-12-09T21:01:44.741461image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1864
15.0%
l 1864
15.0%
N 932
7.5%
o 932
7.5%
b 932
7.5%
i 932
7.5%
e 932
7.5%
v 932
7.5%
A 932
7.5%
932
7.5%
Other values (11) 1230
9.9%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9320
75.1%
Uppercase Letter 1864
 
15.0%
Space Separator 932
 
7.5%
Decimal Number 298
 
2.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 58
19.5%
1 34
11.4%
2 34
11.4%
4 34
11.4%
5 30
10.1%
6 24
8.1%
7 24
8.1%
3 22
 
7.4%
8 20
 
6.7%
9 18
 
6.0%
Lowercase Letter
ValueCountFrequency (%)
a 1864
20.0%
l 1864
20.0%
o 932
10.0%
b 932
10.0%
i 932
10.0%
e 932
10.0%
v 932
10.0%
t 932
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 932
50.0%
A 932
50.0%
Space Separator
ValueCountFrequency (%)
932
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11184
90.1%
Common 1230
 
9.9%

Most frequent character per script

Common
ValueCountFrequency (%)
932
75.8%
0 58
 
4.7%
1 34
 
2.8%
2 34
 
2.8%
4 34
 
2.8%
5 30
 
2.4%
6 24
 
2.0%
7 24
 
2.0%
3 22
 
1.8%
8 20
 
1.6%
Latin
ValueCountFrequency (%)
a 1864
16.7%
l 1864
16.7%
N 932
8.3%
o 932
8.3%
b 932
8.3%
i 932
8.3%
e 932
8.3%
v 932
8.3%
A 932
8.3%
t 932
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12414
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1864
15.0%
l 1864
15.0%
N 932
7.5%
o 932
7.5%
b 932
7.5%
i 932
7.5%
e 932
7.5%
v 932
7.5%
A 932
7.5%
932
7.5%
Other values (11) 1230
9.9%
Distinct118
Distinct (%)11.8%
Missing0
Missing (%)0.0%
Memory size59.7 KiB
2023-12-09T21:01:45.080145image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length4
Median length4
Mean length4
Min length4

Characters and Unicode

Total characters4000
Distinct characters10
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique16 ?
Unique (%)1.6%

Sample

1st row1982
2nd row1956
3rd row1989
4th row1961
5th row1999
ValueCountFrequency (%)
1931 82
 
8.2%
1930 45
 
4.5%
1925 42
 
4.2%
1957 25
 
2.5%
1924 20
 
2.0%
1965 20
 
2.0%
1966 19
 
1.9%
1960 19
 
1.9%
1929 19
 
1.9%
1964 19
 
1.9%
Other values (108) 690
69.0%
2023-12-09T21:01:45.545015image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 1140
28.5%
9 1068
26.7%
0 358
 
8.9%
2 281
 
7.0%
5 250
 
6.2%
3 244
 
6.1%
6 225
 
5.6%
7 157
 
3.9%
4 144
 
3.6%
8 133
 
3.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 4000
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 1140
28.5%
9 1068
26.7%
0 358
 
8.9%
2 281
 
7.0%
5 250
 
6.2%
3 244
 
6.1%
6 225
 
5.6%
7 157
 
3.9%
4 144
 
3.6%
8 133
 
3.3%

Most occurring scripts

ValueCountFrequency (%)
Common 4000
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 1140
28.5%
9 1068
26.7%
0 358
 
8.9%
2 281
 
7.0%
5 250
 
6.2%
3 244
 
6.1%
6 225
 
5.6%
7 157
 
3.9%
4 144
 
3.6%
8 133
 
3.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 1140
28.5%
9 1068
26.7%
0 358
 
8.9%
2 281
 
7.0%
5 250
 
6.2%
3 244
 
6.1%
6 225
 
5.6%
7 157
 
3.9%
4 144
 
3.6%
8 133
 
3.3%

construction_status
Text

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size63.6 KiB
2023-12-09T21:01:45.718523image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length8
Median length8
Mean length8
Min length8

Characters and Unicode

Total characters8000
Distinct characters7
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowExisting
2nd rowExisting
3rd rowExisting
4th rowExisting
5th rowExisting
ValueCountFrequency (%)
existing 1000
100.0%
2023-12-09T21:01:45.984794image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
i 2000
25.0%
E 1000
12.5%
x 1000
12.5%
s 1000
12.5%
t 1000
12.5%
n 1000
12.5%
g 1000
12.5%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 7000
87.5%
Uppercase Letter 1000
 
12.5%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
i 2000
28.6%
x 1000
14.3%
s 1000
14.3%
t 1000
14.3%
n 1000
14.3%
g 1000
14.3%
Uppercase Letter
ValueCountFrequency (%)
E 1000
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 8000
100.0%

Most frequent character per script

Latin
ValueCountFrequency (%)
i 2000
25.0%
E 1000
12.5%
x 1000
12.5%
s 1000
12.5%
t 1000
12.5%
n 1000
12.5%
g 1000
12.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 8000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
i 2000
25.0%
E 1000
12.5%
x 1000
12.5%
s 1000
12.5%
t 1000
12.5%
n 1000
12.5%
g 1000
12.5%
Distinct3
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size56.8 KiB
2023-12-09T21:01:46.093015image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters1000
Distinct characters3
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)0.1%

Sample

1st row1
2nd row1
3rd row1
4th row1
5th row1
ValueCountFrequency (%)
1 986
98.6%
2 13
 
1.3%
5 1
 
0.1%
2023-12-09T21:01:46.313849image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 986
98.6%
2 13
 
1.3%
5 1
 
0.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1000
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 986
98.6%
2 13
 
1.3%
5 1
 
0.1%

Most occurring scripts

ValueCountFrequency (%)
Common 1000
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 986
98.6%
2 13
 
1.3%
5 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 986
98.6%
2 13
 
1.3%
5 1
 
0.1%
Distinct12
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size58.7 KiB
2023-12-09T21:01:46.451466image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length3
Median length3
Mean length2.957
Min length2

Characters and Unicode

Total characters2957
Distinct characters9
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique3 ?
Unique (%)0.3%

Sample

1st row55
2nd row100
3rd row95
4th row100
5th row100
ValueCountFrequency (%)
100 957
95.7%
95 13
 
1.3%
90 9
 
0.9%
85 5
 
0.5%
65 3
 
0.3%
75 3
 
0.3%
80 3
 
0.3%
70 2
 
0.2%
40 2
 
0.2%
45 1
 
0.1%
Other values (2) 2
 
0.2%
2023-12-09T21:01:46.710988image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 1931
65.3%
1 957
32.4%
5 27
 
0.9%
9 22
 
0.7%
8 8
 
0.3%
7 5
 
0.2%
6 3
 
0.1%
4 3
 
0.1%
2 1
 
< 0.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2957
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1931
65.3%
1 957
32.4%
5 27
 
0.9%
9 22
 
0.7%
8 8
 
0.3%
7 5
 
0.2%
6 3
 
0.1%
4 3
 
0.1%
2 1
 
< 0.1%

Most occurring scripts

ValueCountFrequency (%)
Common 2957
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 1931
65.3%
1 957
32.4%
5 27
 
0.9%
9 22
 
0.7%
8 8
 
0.3%
7 5
 
0.2%
6 3
 
0.1%
4 3
 
0.1%
2 1
 
< 0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2957
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 1931
65.3%
1 957
32.4%
5 27
 
0.9%
9 22
 
0.7%
8 8
 
0.3%
7 5
 
0.2%
6 3
 
0.1%
4 3
 
0.1%
2 1
 
< 0.1%

metered_areas_energy
Text

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size69.5 KiB
2023-12-09T21:01:46.877362image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length14
Median length14
Mean length14
Min length14

Characters and Unicode

Total characters14000
Distinct characters11
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowWhole Property
2nd rowWhole Property
3rd rowWhole Property
4th rowWhole Property
5th rowWhole Property
ValueCountFrequency (%)
whole 1000
50.0%
property 1000
50.0%
2023-12-09T21:01:47.166912image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
o 2000
14.3%
e 2000
14.3%
r 2000
14.3%
W 1000
7.1%
h 1000
7.1%
l 1000
7.1%
1000
7.1%
P 1000
7.1%
p 1000
7.1%
t 1000
7.1%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 11000
78.6%
Uppercase Letter 2000
 
14.3%
Space Separator 1000
 
7.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
o 2000
18.2%
e 2000
18.2%
r 2000
18.2%
h 1000
9.1%
l 1000
9.1%
p 1000
9.1%
t 1000
9.1%
y 1000
9.1%
Uppercase Letter
ValueCountFrequency (%)
W 1000
50.0%
P 1000
50.0%
Space Separator
ValueCountFrequency (%)
1000
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 13000
92.9%
Common 1000
 
7.1%

Most frequent character per script

Latin
ValueCountFrequency (%)
o 2000
15.4%
e 2000
15.4%
r 2000
15.4%
W 1000
7.7%
h 1000
7.7%
l 1000
7.7%
P 1000
7.7%
p 1000
7.7%
t 1000
7.7%
y 1000
7.7%
Common
ValueCountFrequency (%)
1000
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 14000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
o 2000
14.3%
e 2000
14.3%
r 2000
14.3%
W 1000
7.1%
h 1000
7.1%
l 1000
7.1%
1000
7.1%
P 1000
7.1%
p 1000
7.1%
t 1000
7.1%
Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size68.6 KiB
2023-12-09T21:01:47.373027image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length14
Median length13
Mean length13.112
Min length13

Characters and Unicode

Total characters13112
Distinct characters17
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNot Available
2nd rowWhole Property
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 888
44.4%
available 888
44.4%
whole 112
 
5.6%
property 112
 
5.6%
2023-12-09T21:01:47.659209image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
l 1888
14.4%
a 1776
13.5%
o 1112
8.5%
e 1112
8.5%
t 1000
7.6%
1000
7.6%
b 888
6.8%
N 888
6.8%
i 888
6.8%
v 888
6.8%
Other values (7) 1672
12.8%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 10112
77.1%
Uppercase Letter 2000
 
15.3%
Space Separator 1000
 
7.6%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
l 1888
18.7%
a 1776
17.6%
o 1112
11.0%
e 1112
11.0%
t 1000
9.9%
b 888
8.8%
i 888
8.8%
v 888
8.8%
r 224
 
2.2%
h 112
 
1.1%
Other values (2) 224
 
2.2%
Uppercase Letter
ValueCountFrequency (%)
N 888
44.4%
A 888
44.4%
W 112
 
5.6%
P 112
 
5.6%
Space Separator
ValueCountFrequency (%)
1000
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 12112
92.4%
Common 1000
 
7.6%

Most frequent character per script

Latin
ValueCountFrequency (%)
l 1888
15.6%
a 1776
14.7%
o 1112
9.2%
e 1112
9.2%
t 1000
8.3%
b 888
7.3%
N 888
7.3%
i 888
7.3%
v 888
7.3%
A 888
7.3%
Other values (6) 784
6.5%
Common
ValueCountFrequency (%)
1000
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 13112
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
l 1888
14.4%
a 1776
13.5%
o 1112
8.5%
e 1112
8.5%
t 1000
7.6%
1000
7.6%
b 888
6.8%
N 888
6.8%
i 888
6.8%
v 888
6.8%
Other values (7) 1672
12.8%
Distinct90
Distinct (%)9.0%
Missing0
Missing (%)0.0%
Memory size58.0 KiB
2023-12-09T21:01:47.946832image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length2
Mean length2.222
Min length1

Characters and Unicode

Total characters2222
Distinct characters21
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique10 ?
Unique (%)1.0%

Sample

1st row83
2nd row11
3rd row74
4th row73
5th row53
ValueCountFrequency (%)
93 37
 
3.6%
87 30
 
2.9%
80 28
 
2.7%
90 28
 
2.7%
85 27
 
2.6%
96 27
 
2.6%
92 26
 
2.6%
86 25
 
2.5%
89 25
 
2.5%
81 25
 
2.5%
Other values (81) 741
72.7%
2023-12-09T21:01:48.375683image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
8 342
15.4%
9 328
14.8%
7 295
13.3%
6 216
9.7%
5 186
8.4%
3 133
 
6.0%
0 132
 
5.9%
4 123
 
5.5%
1 112
 
5.0%
2 108
 
4.9%
Other values (11) 247
11.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1975
88.9%
Lowercase Letter 190
 
8.6%
Uppercase Letter 38
 
1.7%
Space Separator 19
 
0.9%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
8 342
17.3%
9 328
16.6%
7 295
14.9%
6 216
10.9%
5 186
9.4%
3 133
 
6.7%
0 132
 
6.7%
4 123
 
6.2%
1 112
 
5.7%
2 108
 
5.5%
Lowercase Letter
ValueCountFrequency (%)
l 38
20.0%
a 38
20.0%
v 19
10.0%
b 19
10.0%
i 19
10.0%
t 19
10.0%
o 19
10.0%
e 19
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 19
50.0%
A 19
50.0%
Space Separator
ValueCountFrequency (%)
19
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1994
89.7%
Latin 228
 
10.3%

Most frequent character per script

Common
ValueCountFrequency (%)
8 342
17.2%
9 328
16.4%
7 295
14.8%
6 216
10.8%
5 186
9.3%
3 133
 
6.7%
0 132
 
6.6%
4 123
 
6.2%
1 112
 
5.6%
2 108
 
5.4%
Latin
ValueCountFrequency (%)
l 38
16.7%
a 38
16.7%
v 19
8.3%
b 19
8.3%
i 19
8.3%
N 19
8.3%
A 19
8.3%
t 19
8.3%
o 19
8.3%
e 19
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2222
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
8 342
15.4%
9 328
14.8%
7 295
13.3%
6 216
9.7%
5 186
8.4%
3 133
 
6.0%
0 132
 
5.9%
4 123
 
5.5%
1 112
 
5.0%
2 108
 
4.9%
Other values (11) 247
11.1%
Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size57.7 KiB
2023-12-09T21:01:48.488399image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length2
Median length2
Mean length2
Min length2

Characters and Unicode

Total characters2000
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row50
2nd row50
3rd row50
4th row50
5th row50
ValueCountFrequency (%)
50 1000
100.0%
2023-12-09T21:01:48.702336image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 1000
50.0%
0 1000
50.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2000
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 1000
50.0%
0 1000
50.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2000
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
5 1000
50.0%
0 1000
50.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 1000
50.0%
0 1000
50.0%
Distinct22
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Memory size58.5 KiB
2023-12-09T21:01:48.864030image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length2
Mean length2.749
Min length2

Characters and Unicode

Total characters2749
Distinct characters21
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique13 ?
Unique (%)1.3%

Sample

1st row75
2nd row75
3rd row75
4th rowNot Available
5th row75
ValueCountFrequency (%)
75 895
83.8%
available 68
 
6.4%
not 68
 
6.4%
85 8
 
0.7%
80 4
 
0.4%
87 3
 
0.3%
70 3
 
0.3%
69 2
 
0.2%
72 2
 
0.2%
84 2
 
0.2%
Other values (13) 13
 
1.2%
2023-12-09T21:01:49.157203image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 907
33.0%
7 906
33.0%
a 136
 
4.9%
l 136
 
4.9%
t 68
 
2.5%
i 68
 
2.5%
68
 
2.5%
b 68
 
2.5%
N 68
 
2.5%
e 68
 
2.5%
Other values (11) 256
 
9.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1865
67.8%
Lowercase Letter 680
 
24.7%
Uppercase Letter 136
 
4.9%
Space Separator 68
 
2.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 907
48.6%
7 906
48.6%
8 21
 
1.1%
0 10
 
0.5%
6 5
 
0.3%
9 4
 
0.2%
2 4
 
0.2%
1 3
 
0.2%
3 3
 
0.2%
4 2
 
0.1%
Lowercase Letter
ValueCountFrequency (%)
a 136
20.0%
l 136
20.0%
t 68
10.0%
i 68
10.0%
b 68
10.0%
e 68
10.0%
o 68
10.0%
v 68
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 68
50.0%
A 68
50.0%
Space Separator
ValueCountFrequency (%)
68
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1933
70.3%
Latin 816
29.7%

Most frequent character per script

Common
ValueCountFrequency (%)
5 907
46.9%
7 906
46.9%
68
 
3.5%
8 21
 
1.1%
0 10
 
0.5%
6 5
 
0.3%
9 4
 
0.2%
2 4
 
0.2%
1 3
 
0.2%
3 3
 
0.2%
Latin
ValueCountFrequency (%)
a 136
16.7%
l 136
16.7%
t 68
8.3%
i 68
8.3%
b 68
8.3%
N 68
8.3%
e 68
8.3%
o 68
8.3%
v 68
8.3%
A 68
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2749
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 907
33.0%
7 906
33.0%
a 136
 
4.9%
l 136
 
4.9%
t 68
 
2.5%
i 68
 
2.5%
68
 
2.5%
b 68
 
2.5%
N 68
 
2.5%
e 68
 
2.5%
Other values (11) 256
 
9.3%
Distinct5
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size69.9 KiB
2023-12-09T21:01:49.396547image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length120
Median length13
Mean length14.442
Min length13

Characters and Unicode

Total characters14442
Distinct characters42
Distinct categories8 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2 ?
Unique (%)0.2%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 991
43.4%
available 981
43.0%
is 29
 
1.3%
a 20
 
0.9%
the 18
 
0.8%
in 11
 
0.5%
of 11
 
0.5%
that 10
 
0.4%
gross 10
 
0.4%
country 10
 
0.4%
Other values (31) 190
 
8.3%
2023-12-09T21:01:49.767248image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 2039
14.1%
l 2028
14.0%
1281
8.9%
e 1135
7.9%
o 1120
7.8%
t 1081
7.5%
i 1071
7.4%
b 992
6.9%
A 991
6.9%
N 982
6.8%
Other values (32) 1722
11.9%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 11007
76.2%
Uppercase Letter 2051
 
14.2%
Space Separator 1281
 
8.9%
Decimal Number 60
 
0.4%
Close Punctuation 11
 
0.1%
Open Punctuation 11
 
0.1%
Other Punctuation 11
 
0.1%
Dash Punctuation 10
 
0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 2039
18.5%
l 2028
18.4%
e 1135
10.3%
o 1120
10.2%
t 1081
9.8%
i 1071
9.7%
b 992
9.0%
v 981
8.9%
r 130
 
1.2%
s 90
 
0.8%
Other values (12) 340
 
3.1%
Uppercase Letter
ValueCountFrequency (%)
A 991
48.3%
N 982
47.9%
M 12
 
0.6%
F 10
 
0.5%
T 10
 
0.5%
P 10
 
0.5%
G 10
 
0.5%
W 9
 
0.4%
O 8
 
0.4%
H 8
 
0.4%
Decimal Number
ValueCountFrequency (%)
0 30
50.0%
1 20
33.3%
5 10
 
16.7%
Other Punctuation
ValueCountFrequency (%)
% 10
90.9%
, 1
 
9.1%
Space Separator
ValueCountFrequency (%)
1281
100.0%
Close Punctuation
ValueCountFrequency (%)
) 11
100.0%
Open Punctuation
ValueCountFrequency (%)
( 11
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 10
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 13058
90.4%
Common 1384
 
9.6%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 2039
15.6%
l 2028
15.5%
e 1135
8.7%
o 1120
8.6%
t 1081
8.3%
i 1071
8.2%
b 992
7.6%
A 991
7.6%
N 982
7.5%
v 981
7.5%
Other values (23) 638
 
4.9%
Common
ValueCountFrequency (%)
1281
92.6%
0 30
 
2.2%
1 20
 
1.4%
) 11
 
0.8%
( 11
 
0.8%
- 10
 
0.7%
% 10
 
0.7%
5 10
 
0.7%
, 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 14442
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 2039
14.1%
l 2028
14.0%
1281
8.9%
e 1135
7.9%
o 1120
7.8%
t 1081
7.5%
i 1071
7.4%
b 992
6.9%
A 991
6.9%
N 982
6.8%
Other values (32) 1722
11.9%
Distinct84
Distinct (%)8.4%
Missing0
Missing (%)0.0%
Memory size72.2 KiB
2023-12-09T21:01:50.018764image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length196
Median length13
Mean length16.836
Min length9

Characters and Unicode

Total characters16836
Distinct characters24
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique80 ?
Unique (%)8.0%

Sample

1st row2001 (78), 2002 (83), 2003 (88), 2005 (91), 2006 (81), 2008 (75), 2010 (82), 2015 (84), 2017 (79), 2020 (80)
2nd row2001 (83), 2008 (77), 2010 (82), 2015 (83), 2017 (78), 2018 (80)
3rd row2001 (75), 2002 (76), 2003 (75), 2005 (77), 2006 (85), 2008 (86), 2010 (83), 2015 (86), 2016 (91), 2018 (87)
4th row2001 (76), 2003 (78), 2005 (85), 2006 (78), 2008 (91), 2010 (75), 2015 (76), 2017 (79), 2018 (83)
5th row2001 (75), 2002 (76), 2003 (76), 2005 (78), 2006 (78), 2008 (83), 2010 (75)
ValueCountFrequency (%)
not 914
33.1%
available 914
33.1%
2018 59
 
2.1%
75 53
 
1.9%
2017 51
 
1.8%
2016 48
 
1.7%
77 47
 
1.7%
2015 43
 
1.6%
78 40
 
1.4%
80 38
 
1.4%
Other values (35) 553
20.0%
2023-12-09T21:01:50.412054image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1828
 
10.9%
l 1828
 
10.9%
1760
 
10.5%
N 914
 
5.4%
o 914
 
5.4%
t 914
 
5.4%
A 914
 
5.4%
v 914
 
5.4%
i 914
 
5.4%
b 914
 
5.4%
Other values (14) 5022
29.8%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9140
54.3%
Decimal Number 2796
 
16.6%
Uppercase Letter 1828
 
10.9%
Space Separator 1760
 
10.5%
Open Punctuation 466
 
2.8%
Close Punctuation 466
 
2.8%
Other Punctuation 380
 
2.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 646
23.1%
2 559
20.0%
1 434
15.5%
8 362
12.9%
7 326
11.7%
5 121
 
4.3%
9 120
 
4.3%
6 107
 
3.8%
4 61
 
2.2%
3 60
 
2.1%
Lowercase Letter
ValueCountFrequency (%)
a 1828
20.0%
l 1828
20.0%
o 914
10.0%
t 914
10.0%
v 914
10.0%
i 914
10.0%
b 914
10.0%
e 914
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 914
50.0%
A 914
50.0%
Space Separator
ValueCountFrequency (%)
1760
100.0%
Open Punctuation
ValueCountFrequency (%)
( 466
100.0%
Close Punctuation
ValueCountFrequency (%)
) 466
100.0%
Other Punctuation
ValueCountFrequency (%)
, 380
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 10968
65.1%
Common 5868
34.9%

Most frequent character per script

Common
ValueCountFrequency (%)
1760
30.0%
0 646
 
11.0%
2 559
 
9.5%
( 466
 
7.9%
) 466
 
7.9%
1 434
 
7.4%
, 380
 
6.5%
8 362
 
6.2%
7 326
 
5.6%
5 121
 
2.1%
Other values (4) 348
 
5.9%
Latin
ValueCountFrequency (%)
a 1828
16.7%
l 1828
16.7%
N 914
8.3%
o 914
8.3%
t 914
8.3%
A 914
8.3%
v 914
8.3%
i 914
8.3%
b 914
8.3%
e 914
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 16836
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1828
 
10.9%
l 1828
 
10.9%
1760
 
10.5%
N 914
 
5.4%
o 914
 
5.4%
t 914
 
5.4%
A 914
 
5.4%
v 914
 
5.4%
i 914
 
5.4%
b 914
 
5.4%
Other values (14) 5022
29.8%
Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size58.3 KiB
2023-12-09T21:01:50.538890image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length3
Median length3
Mean length2.571
Min length2

Characters and Unicode

Total characters2571
Distinct characters5
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowYes
2nd rowNo
3rd rowNo
4th rowNo
5th rowNo
ValueCountFrequency (%)
yes 571
57.1%
no 429
42.9%
2023-12-09T21:01:50.773849image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
Y 571
22.2%
e 571
22.2%
s 571
22.2%
N 429
16.7%
o 429
16.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 1571
61.1%
Uppercase Letter 1000
38.9%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 571
36.3%
s 571
36.3%
o 429
27.3%
Uppercase Letter
ValueCountFrequency (%)
Y 571
57.1%
N 429
42.9%

Most occurring scripts

ValueCountFrequency (%)
Latin 2571
100.0%

Most frequent character per script

Latin
ValueCountFrequency (%)
Y 571
22.2%
e 571
22.2%
s 571
22.2%
N 429
16.7%
o 429
16.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2571
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
Y 571
22.2%
e 571
22.2%
s 571
22.2%
N 429
16.7%
o 429
16.7%
Distinct72
Distinct (%)7.2%
Missing0
Missing (%)0.0%
Memory size68.2 KiB
2023-12-09T21:01:51.110340image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.742
Min length10

Characters and Unicode

Total characters12742
Distinct characters22
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique60 ?
Unique (%)6.0%

Sample

1st row09/09/2020
2nd row07/02/2018
3rd row05/02/2018
4th row05/02/2018
5th row03/22/2011
ValueCountFrequency (%)
not 914
47.8%
available 914
47.8%
03/15/2021 4
 
0.2%
07/30/2018 3
 
0.2%
07/10/2018 3
 
0.2%
07/19/2011 2
 
0.1%
12/14/2020 2
 
0.1%
08/05/2020 2
 
0.1%
05/02/2018 2
 
0.1%
03/10/2021 2
 
0.1%
Other values (63) 66
 
3.4%
2023-12-09T21:01:51.579580image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1828
14.3%
l 1828
14.3%
N 914
7.2%
o 914
7.2%
t 914
7.2%
914
7.2%
A 914
7.2%
v 914
7.2%
i 914
7.2%
b 914
7.2%
Other values (12) 1774
13.9%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9140
71.7%
Uppercase Letter 1828
 
14.3%
Space Separator 914
 
7.2%
Decimal Number 688
 
5.4%
Other Punctuation 172
 
1.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 220
32.0%
2 169
24.6%
1 141
20.5%
8 45
 
6.5%
7 24
 
3.5%
3 23
 
3.3%
9 22
 
3.2%
5 17
 
2.5%
4 14
 
2.0%
6 13
 
1.9%
Lowercase Letter
ValueCountFrequency (%)
a 1828
20.0%
l 1828
20.0%
o 914
10.0%
t 914
10.0%
v 914
10.0%
i 914
10.0%
b 914
10.0%
e 914
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 914
50.0%
A 914
50.0%
Space Separator
ValueCountFrequency (%)
914
100.0%
Other Punctuation
ValueCountFrequency (%)
/ 172
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 10968
86.1%
Common 1774
 
13.9%

Most frequent character per script

Common
ValueCountFrequency (%)
914
51.5%
0 220
 
12.4%
/ 172
 
9.7%
2 169
 
9.5%
1 141
 
7.9%
8 45
 
2.5%
7 24
 
1.4%
3 23
 
1.3%
9 22
 
1.2%
5 17
 
1.0%
Other values (2) 27
 
1.5%
Latin
ValueCountFrequency (%)
a 1828
16.7%
l 1828
16.7%
N 914
8.3%
o 914
8.3%
t 914
8.3%
A 914
8.3%
v 914
8.3%
i 914
8.3%
b 914
8.3%
e 914
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12742
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1828
14.3%
l 1828
14.3%
N 914
7.2%
o 914
7.2%
t 914
7.2%
914
7.2%
A 914
7.2%
v 914
7.2%
i 914
7.2%
b 914
7.2%
Other values (12) 1774
13.9%
Distinct515
Distinct (%)51.5%
Missing0
Missing (%)0.0%
Memory size59.6 KiB
2023-12-09T21:01:52.081057image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length4
Mean length3.881
Min length2

Characters and Unicode

Total characters3881
Distinct characters22
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique265 ?
Unique (%)26.5%

Sample

1st row41.7
2nd row234.9
3rd row56
4th row70.4
5th row78.7
ValueCountFrequency (%)
51.3 7
 
0.7%
63.1 7
 
0.7%
66.1 6
 
0.6%
36.9 6
 
0.6%
45.2 6
 
0.6%
50.4 6
 
0.6%
64.2 6
 
0.6%
37.5 6
 
0.6%
61.9 6
 
0.6%
53.1 6
 
0.6%
Other values (506) 939
93.8%
2023-12-09T21:01:52.708420image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 918
23.7%
5 476
12.3%
6 428
11.0%
4 400
10.3%
7 291
 
7.5%
3 289
 
7.4%
8 250
 
6.4%
2 247
 
6.4%
1 247
 
6.4%
9 217
 
5.6%
Other values (12) 118
 
3.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2950
76.0%
Other Punctuation 918
 
23.7%
Lowercase Letter 10
 
0.3%
Uppercase Letter 2
 
0.1%
Space Separator 1
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 476
16.1%
6 428
14.5%
4 400
13.6%
7 291
9.9%
3 289
9.8%
8 250
8.5%
2 247
8.4%
1 247
8.4%
9 217
7.4%
0 105
 
3.6%
Lowercase Letter
ValueCountFrequency (%)
l 2
20.0%
a 2
20.0%
v 1
10.0%
b 1
10.0%
i 1
10.0%
t 1
10.0%
o 1
10.0%
e 1
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 1
50.0%
A 1
50.0%
Other Punctuation
ValueCountFrequency (%)
. 918
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3869
99.7%
Latin 12
 
0.3%

Most frequent character per script

Common
ValueCountFrequency (%)
. 918
23.7%
5 476
12.3%
6 428
11.1%
4 400
10.3%
7 291
 
7.5%
3 289
 
7.5%
8 250
 
6.5%
2 247
 
6.4%
1 247
 
6.4%
9 217
 
5.6%
Other values (2) 106
 
2.7%
Latin
ValueCountFrequency (%)
l 2
16.7%
a 2
16.7%
v 1
8.3%
b 1
8.3%
i 1
8.3%
N 1
8.3%
A 1
8.3%
t 1
8.3%
o 1
8.3%
e 1
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3881
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 918
23.7%
5 476
12.3%
6 428
11.0%
4 400
10.3%
7 291
 
7.5%
3 289
 
7.4%
8 250
 
6.4%
2 247
 
6.4%
1 247
 
6.4%
9 217
 
5.6%
Other values (12) 118
 
3.0%
Distinct524
Distinct (%)52.4%
Missing0
Missing (%)0.0%
Memory size59.7 KiB
2023-12-09T21:01:53.213705image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length4
Mean length3.968
Min length2

Characters and Unicode

Total characters3968
Distinct characters22
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique268 ?
Unique (%)26.8%

Sample

1st row44
2nd row234.9
3rd row58.8
4th row72.3
5th row81.6
ValueCountFrequency (%)
not 15
 
1.5%
available 15
 
1.5%
64.4 9
 
0.9%
55.9 7
 
0.7%
58.3 7
 
0.7%
66.8 6
 
0.6%
67.4 6
 
0.6%
50 6
 
0.6%
62.4 6
 
0.6%
66.1 5
 
0.5%
Other values (515) 933
91.9%
2023-12-09T21:01:53.833450image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 879
22.2%
6 436
11.0%
5 432
10.9%
4 336
 
8.5%
7 334
 
8.4%
1 262
 
6.6%
3 261
 
6.6%
8 256
 
6.5%
9 236
 
5.9%
2 229
 
5.8%
Other values (12) 307
 
7.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2894
72.9%
Other Punctuation 879
 
22.2%
Lowercase Letter 150
 
3.8%
Uppercase Letter 30
 
0.8%
Space Separator 15
 
0.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
6 436
15.1%
5 432
14.9%
4 336
11.6%
7 334
11.5%
1 262
9.1%
3 261
9.0%
8 256
8.8%
9 236
8.2%
2 229
7.9%
0 112
 
3.9%
Lowercase Letter
ValueCountFrequency (%)
a 30
20.0%
l 30
20.0%
i 15
10.0%
b 15
10.0%
e 15
10.0%
o 15
10.0%
v 15
10.0%
t 15
10.0%
Uppercase Letter
ValueCountFrequency (%)
A 15
50.0%
N 15
50.0%
Other Punctuation
ValueCountFrequency (%)
. 879
100.0%
Space Separator
ValueCountFrequency (%)
15
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3788
95.5%
Latin 180
 
4.5%

Most frequent character per script

Common
ValueCountFrequency (%)
. 879
23.2%
6 436
11.5%
5 432
11.4%
4 336
 
8.9%
7 334
 
8.8%
1 262
 
6.9%
3 261
 
6.9%
8 256
 
6.8%
9 236
 
6.2%
2 229
 
6.0%
Other values (2) 127
 
3.4%
Latin
ValueCountFrequency (%)
a 30
16.7%
l 30
16.7%
i 15
8.3%
b 15
8.3%
e 15
8.3%
o 15
8.3%
v 15
8.3%
A 15
8.3%
t 15
8.3%
N 15
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3968
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 879
22.2%
6 436
11.0%
5 432
10.9%
4 336
 
8.5%
7 334
 
8.4%
1 262
 
6.6%
3 261
 
6.6%
8 256
 
6.5%
9 236
 
5.9%
2 229
 
5.8%
Other values (12) 307
 
7.7%
Distinct486
Distinct (%)48.6%
Missing0
Missing (%)0.0%
Memory size59.6 KiB
2023-12-09T21:01:54.346481image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length5
Median length4
Mean length3.927
Min length2

Characters and Unicode

Total characters3927
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique218 ?
Unique (%)21.8%

Sample

1st row71.4
2nd row133.7
3rd row80
4th row98.1
5th row82.3
ValueCountFrequency (%)
80.3 11
 
1.1%
86.4 9
 
0.9%
83.4 8
 
0.8%
87.6 7
 
0.7%
85.7 7
 
0.7%
78.5 6
 
0.6%
86.6 6
 
0.6%
68.2 6
 
0.6%
84.9 6
 
0.6%
76.4 6
 
0.6%
Other values (476) 928
92.8%
2023-12-09T21:01:54.973937image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 911
23.2%
8 521
13.3%
7 387
9.9%
6 371
9.4%
9 367
9.3%
1 330
 
8.4%
5 256
 
6.5%
2 220
 
5.6%
4 215
 
5.5%
3 187
 
4.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 3016
76.8%
Other Punctuation 911
 
23.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
8 521
17.3%
7 387
12.8%
6 371
12.3%
9 367
12.2%
1 330
10.9%
5 256
8.5%
2 220
7.3%
4 215
7.1%
3 187
 
6.2%
0 162
 
5.4%
Other Punctuation
ValueCountFrequency (%)
. 911
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3927
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
. 911
23.2%
8 521
13.3%
7 387
9.9%
6 371
9.4%
9 367
9.3%
1 330
 
8.4%
5 256
 
6.5%
2 220
 
5.6%
4 215
 
5.5%
3 187
 
4.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3927
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 911
23.2%
8 521
13.3%
7 387
9.9%
6 371
9.4%
9 367
9.3%
1 330
 
8.4%
5 256
 
6.5%
2 220
 
5.6%
4 215
 
5.5%
3 187
 
4.8%
Distinct1000
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size64.6 KiB
2023-12-09T21:01:55.377472image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length9
Mean length9.036
Min length6

Characters and Unicode

Total characters9036
Distinct characters22
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1000 ?
Unique (%)100.0%

Sample

1st row28621509.3
2nd row90318696
3rd row32329714.8
4th row27516842.6
5th row126054250.5
ValueCountFrequency (%)
14530774.4 1
 
0.1%
5807409.7 1
 
0.1%
10932598 1
 
0.1%
2887724 1
 
0.1%
34413839.9 1
 
0.1%
5138653.6 1
 
0.1%
4718252.2 1
 
0.1%
7030385.3 1
 
0.1%
7209865.1 1
 
0.1%
13794353 1
 
0.1%
Other values (991) 991
99.0%
2023-12-09T21:01:55.925753image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 896
9.9%
5 892
9.9%
6 865
9.6%
1 863
9.6%
3 844
9.3%
2 841
9.3%
4 807
8.9%
7 788
8.7%
9 784
8.7%
8 780
8.6%
Other values (12) 676
7.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 8127
89.9%
Other Punctuation 896
 
9.9%
Lowercase Letter 10
 
0.1%
Uppercase Letter 2
 
< 0.1%
Space Separator 1
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 892
11.0%
6 865
10.6%
1 863
10.6%
3 844
10.4%
2 841
10.3%
4 807
9.9%
7 788
9.7%
9 784
9.6%
8 780
9.6%
0 663
8.2%
Lowercase Letter
ValueCountFrequency (%)
l 2
20.0%
a 2
20.0%
v 1
10.0%
b 1
10.0%
i 1
10.0%
t 1
10.0%
o 1
10.0%
e 1
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 1
50.0%
A 1
50.0%
Other Punctuation
ValueCountFrequency (%)
. 896
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 9024
99.9%
Latin 12
 
0.1%

Most frequent character per script

Common
ValueCountFrequency (%)
. 896
9.9%
5 892
9.9%
6 865
9.6%
1 863
9.6%
3 844
9.4%
2 841
9.3%
4 807
8.9%
7 788
8.7%
9 784
8.7%
8 780
8.6%
Other values (2) 664
7.4%
Latin
ValueCountFrequency (%)
l 2
16.7%
a 2
16.7%
v 1
8.3%
b 1
8.3%
i 1
8.3%
N 1
8.3%
A 1
8.3%
t 1
8.3%
o 1
8.3%
e 1
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 9036
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 896
9.9%
5 892
9.9%
6 865
9.6%
1 863
9.6%
3 844
9.3%
2 841
9.3%
4 807
8.9%
7 788
8.7%
9 784
8.7%
8 780
8.6%
Other values (12) 676
7.5%
Distinct986
Distinct (%)98.6%
Missing0
Missing (%)0.0%
Memory size64.7 KiB
2023-12-09T21:01:56.276057image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length9
Mean length9.14
Min length6

Characters and Unicode

Total characters9140
Distinct characters22
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique985 ?
Unique (%)98.5%

Sample

1st row30188450.1
2nd row90318696
3rd row33950130.3
4th row28246291
5th row130721778.4
ValueCountFrequency (%)
not 15
 
1.5%
available 15
 
1.5%
5904077 1
 
0.1%
161276981.5 1
 
0.1%
7646674 1
 
0.1%
6578913.4 1
 
0.1%
10604659.7 1
 
0.1%
34413839.9 1
 
0.1%
5138653.6 1
 
0.1%
8854483.2 1
 
0.1%
Other values (977) 977
96.3%
2023-12-09T21:01:56.765963image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 985
10.8%
. 886
9.7%
5 850
9.3%
7 824
9.0%
4 819
9.0%
6 817
8.9%
3 799
8.7%
9 779
8.5%
2 778
8.5%
8 754
8.2%
Other values (12) 849
9.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 8059
88.2%
Other Punctuation 886
 
9.7%
Lowercase Letter 150
 
1.6%
Uppercase Letter 30
 
0.3%
Space Separator 15
 
0.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 985
12.2%
5 850
10.5%
7 824
10.2%
4 819
10.2%
6 817
10.1%
3 799
9.9%
9 779
9.7%
2 778
9.7%
8 754
9.4%
0 654
8.1%
Lowercase Letter
ValueCountFrequency (%)
l 30
20.0%
a 30
20.0%
b 15
10.0%
e 15
10.0%
o 15
10.0%
i 15
10.0%
v 15
10.0%
t 15
10.0%
Uppercase Letter
ValueCountFrequency (%)
A 15
50.0%
N 15
50.0%
Other Punctuation
ValueCountFrequency (%)
. 886
100.0%
Space Separator
ValueCountFrequency (%)
15
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 8960
98.0%
Latin 180
 
2.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 985
11.0%
. 886
9.9%
5 850
9.5%
7 824
9.2%
4 819
9.1%
6 817
9.1%
3 799
8.9%
9 779
8.7%
2 778
8.7%
8 754
8.4%
Other values (2) 669
7.5%
Latin
ValueCountFrequency (%)
l 30
16.7%
a 30
16.7%
b 15
8.3%
e 15
8.3%
o 15
8.3%
i 15
8.3%
v 15
8.3%
A 15
8.3%
t 15
8.3%
N 15
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 9140
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 985
10.8%
. 886
9.7%
5 850
9.3%
7 824
9.0%
4 819
9.0%
6 817
8.9%
3 799
8.7%
9 779
8.5%
2 778
8.5%
8 754
8.2%
Other values (12) 849
9.3%
Distinct169
Distinct (%)16.9%
Missing0
Missing (%)0.0%
Memory size58.7 KiB
2023-12-09T21:01:57.234762image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length3
Mean length2.967
Min length1

Characters and Unicode

Total characters2967
Distinct characters22
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique57 ?
Unique (%)5.7%

Sample

1st row9.5
2nd row10.9
3rd row10.6
4th row10.8
5th row14.8
ValueCountFrequency (%)
3.5 37
 
3.7%
3.3 34
 
3.4%
3.8 31
 
3.1%
3.6 29
 
2.9%
3 28
 
2.8%
3.7 28
 
2.8%
3.1 27
 
2.7%
3.2 26
 
2.6%
3.9 26
 
2.6%
4.2 26
 
2.6%
Other values (160) 710
70.9%
2023-12-09T21:01:57.820367image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 898
30.3%
3 422
14.2%
4 278
 
9.4%
1 265
 
8.9%
2 233
 
7.9%
5 224
 
7.5%
7 164
 
5.5%
8 144
 
4.9%
9 142
 
4.8%
6 131
 
4.4%
Other values (12) 66
 
2.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2043
68.9%
Other Punctuation 898
30.3%
Lowercase Letter 20
 
0.7%
Uppercase Letter 4
 
0.1%
Space Separator 2
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 422
20.7%
4 278
13.6%
1 265
13.0%
2 233
11.4%
5 224
11.0%
7 164
 
8.0%
8 144
 
7.0%
9 142
 
7.0%
6 131
 
6.4%
0 40
 
2.0%
Lowercase Letter
ValueCountFrequency (%)
l 4
20.0%
a 4
20.0%
v 2
10.0%
b 2
10.0%
i 2
10.0%
t 2
10.0%
o 2
10.0%
e 2
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 2
50.0%
A 2
50.0%
Other Punctuation
ValueCountFrequency (%)
. 898
100.0%
Space Separator
ValueCountFrequency (%)
2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2943
99.2%
Latin 24
 
0.8%

Most frequent character per script

Common
ValueCountFrequency (%)
. 898
30.5%
3 422
14.3%
4 278
 
9.4%
1 265
 
9.0%
2 233
 
7.9%
5 224
 
7.6%
7 164
 
5.6%
8 144
 
4.9%
9 142
 
4.8%
6 131
 
4.5%
Other values (2) 42
 
1.4%
Latin
ValueCountFrequency (%)
l 4
16.7%
a 4
16.7%
v 2
8.3%
b 2
8.3%
i 2
8.3%
N 2
8.3%
A 2
8.3%
t 2
8.3%
o 2
8.3%
e 2
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2967
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 898
30.3%
3 422
14.2%
4 278
 
9.4%
1 265
 
8.9%
2 233
 
7.9%
5 224
 
7.5%
7 164
 
5.5%
8 144
 
4.9%
9 142
 
4.8%
6 131
 
4.4%
Other values (12) 66
 
2.2%
Distinct18
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Memory size58.7 KiB
2023-12-09T21:01:57.998383image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length3
Mean length3
Min length1

Characters and Unicode

Total characters3000
Distinct characters22
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique6 ?
Unique (%)0.6%

Sample

1st rowNot Available
2nd rowNot Available
3rd row0
4th row0
5th row0.2
ValueCountFrequency (%)
0 347
32.4%
0.5 128
 
12.0%
0.4 128
 
12.0%
0.3 128
 
12.0%
not 70
 
6.5%
available 70
 
6.5%
0.6 70
 
6.5%
0.1 47
 
4.4%
0.2 42
 
3.9%
0.7 20
 
1.9%
Other values (9) 20
 
1.9%
2023-12-09T21:01:58.288513image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 921
30.7%
. 580
19.3%
l 140
 
4.7%
a 140
 
4.7%
5 130
 
4.3%
4 130
 
4.3%
3 129
 
4.3%
6 71
 
2.4%
t 70
 
2.3%
70
 
2.3%
Other values (12) 619
20.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1510
50.3%
Lowercase Letter 700
23.3%
Other Punctuation 580
 
19.3%
Uppercase Letter 140
 
4.7%
Space Separator 70
 
2.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 921
61.0%
5 130
 
8.6%
4 130
 
8.6%
3 129
 
8.5%
6 71
 
4.7%
1 53
 
3.5%
2 44
 
2.9%
7 21
 
1.4%
8 8
 
0.5%
9 3
 
0.2%
Lowercase Letter
ValueCountFrequency (%)
l 140
20.0%
a 140
20.0%
t 70
10.0%
v 70
10.0%
o 70
10.0%
i 70
10.0%
b 70
10.0%
e 70
10.0%
Uppercase Letter
ValueCountFrequency (%)
A 70
50.0%
N 70
50.0%
Other Punctuation
ValueCountFrequency (%)
. 580
100.0%
Space Separator
ValueCountFrequency (%)
70
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2160
72.0%
Latin 840
 
28.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 921
42.6%
. 580
26.9%
5 130
 
6.0%
4 130
 
6.0%
3 129
 
6.0%
6 71
 
3.3%
70
 
3.2%
1 53
 
2.5%
2 44
 
2.0%
7 21
 
1.0%
Other values (2) 11
 
0.5%
Latin
ValueCountFrequency (%)
l 140
16.7%
a 140
16.7%
t 70
8.3%
A 70
8.3%
v 70
8.3%
o 70
8.3%
i 70
8.3%
N 70
8.3%
b 70
8.3%
e 70
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 921
30.7%
. 580
19.3%
l 140
 
4.7%
a 140
 
4.7%
5 130
 
4.3%
4 130
 
4.3%
3 129
 
4.3%
6 71
 
2.4%
t 70
 
2.3%
70
 
2.3%
Other values (12) 619
20.6%
Distinct655
Distinct (%)65.5%
Missing0
Missing (%)0.0%
Memory size59.8 KiB
2023-12-09T21:01:58.750830image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length4
Mean length4.151
Min length2

Characters and Unicode

Total characters4151
Distinct characters22
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique432 ?
Unique (%)43.2%

Sample

1st row101.8
2nd row342.2
3rd row124.8
4th row143
5th row172.2
ValueCountFrequency (%)
87.6 5
 
0.5%
78.1 5
 
0.5%
146.2 5
 
0.5%
73.4 5
 
0.5%
81.8 5
 
0.5%
104.7 5
 
0.5%
97.5 4
 
0.4%
64.4 4
 
0.4%
83.6 4
 
0.4%
88.2 4
 
0.4%
Other values (646) 955
95.4%
2023-12-09T21:01:59.361985image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 899
21.7%
1 592
14.3%
9 366
8.8%
7 363
8.7%
6 359
 
8.6%
8 348
 
8.4%
5 266
 
6.4%
4 253
 
6.1%
3 252
 
6.1%
2 240
 
5.8%
Other values (12) 213
 
5.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 3239
78.0%
Other Punctuation 899
 
21.7%
Lowercase Letter 10
 
0.2%
Uppercase Letter 2
 
< 0.1%
Space Separator 1
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 592
18.3%
9 366
11.3%
7 363
11.2%
6 359
11.1%
8 348
10.7%
5 266
8.2%
4 253
7.8%
3 252
7.8%
2 240
7.4%
0 200
 
6.2%
Lowercase Letter
ValueCountFrequency (%)
l 2
20.0%
a 2
20.0%
v 1
10.0%
b 1
10.0%
i 1
10.0%
t 1
10.0%
o 1
10.0%
e 1
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 1
50.0%
A 1
50.0%
Other Punctuation
ValueCountFrequency (%)
. 899
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 4139
99.7%
Latin 12
 
0.3%

Most frequent character per script

Common
ValueCountFrequency (%)
. 899
21.7%
1 592
14.3%
9 366
8.8%
7 363
8.8%
6 359
 
8.7%
8 348
 
8.4%
5 266
 
6.4%
4 253
 
6.1%
3 252
 
6.1%
2 240
 
5.8%
Other values (2) 201
 
4.9%
Latin
ValueCountFrequency (%)
l 2
16.7%
a 2
16.7%
v 1
8.3%
b 1
8.3%
i 1
8.3%
N 1
8.3%
A 1
8.3%
t 1
8.3%
o 1
8.3%
e 1
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4151
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 899
21.7%
1 592
14.3%
9 366
8.8%
7 363
8.7%
6 359
 
8.6%
8 348
 
8.4%
5 266
 
6.4%
4 253
 
6.1%
3 252
 
6.1%
2 240
 
5.8%
Other values (12) 213
 
5.1%
Distinct649
Distinct (%)64.9%
Missing0
Missing (%)0.0%
Memory size60.0 KiB
2023-12-09T21:01:59.855704image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length4
Mean length4.336
Min length2

Characters and Unicode

Total characters4336
Distinct characters22
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique423 ?
Unique (%)42.3%

Sample

1st row104.5
2nd row342.2
3rd row128.2
4th row145.3
5th row175.4
ValueCountFrequency (%)
not 15
 
1.5%
available 15
 
1.5%
83 6
 
0.6%
84.6 5
 
0.5%
87.5 5
 
0.5%
90.6 5
 
0.5%
86 5
 
0.5%
100 5
 
0.5%
88.7 5
 
0.5%
91.5 5
 
0.5%
Other values (640) 944
93.0%
2023-12-09T21:02:00.477665image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 876
20.2%
1 641
14.8%
8 354
8.2%
7 351
8.1%
9 344
 
7.9%
6 317
 
7.3%
5 287
 
6.6%
2 261
 
6.0%
3 248
 
5.7%
0 234
 
5.4%
Other values (12) 423
9.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 3265
75.3%
Other Punctuation 876
 
20.2%
Lowercase Letter 150
 
3.5%
Uppercase Letter 30
 
0.7%
Space Separator 15
 
0.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 641
19.6%
8 354
10.8%
7 351
10.8%
9 344
10.5%
6 317
9.7%
5 287
8.8%
2 261
8.0%
3 248
 
7.6%
0 234
 
7.2%
4 228
 
7.0%
Lowercase Letter
ValueCountFrequency (%)
a 30
20.0%
l 30
20.0%
i 15
10.0%
b 15
10.0%
e 15
10.0%
o 15
10.0%
v 15
10.0%
t 15
10.0%
Uppercase Letter
ValueCountFrequency (%)
A 15
50.0%
N 15
50.0%
Other Punctuation
ValueCountFrequency (%)
. 876
100.0%
Space Separator
ValueCountFrequency (%)
15
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 4156
95.8%
Latin 180
 
4.2%

Most frequent character per script

Common
ValueCountFrequency (%)
. 876
21.1%
1 641
15.4%
8 354
8.5%
7 351
8.4%
9 344
 
8.3%
6 317
 
7.6%
5 287
 
6.9%
2 261
 
6.3%
3 248
 
6.0%
0 234
 
5.6%
Other values (2) 243
 
5.8%
Latin
ValueCountFrequency (%)
a 30
16.7%
l 30
16.7%
i 15
8.3%
b 15
8.3%
e 15
8.3%
o 15
8.3%
v 15
8.3%
A 15
8.3%
t 15
8.3%
N 15
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4336
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 876
20.2%
1 641
14.8%
8 354
8.2%
7 351
8.1%
9 344
 
7.9%
6 317
 
7.3%
5 287
 
6.6%
2 261
 
6.0%
3 248
 
5.7%
0 234
 
5.4%
Other values (12) 423
9.8%
Distinct580
Distinct (%)58.0%
Missing0
Missing (%)0.0%
Memory size60.4 KiB
2023-12-09T21:02:00.949821image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length5
Median length5
Mean length4.769
Min length2

Characters and Unicode

Total characters4769
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique340 ?
Unique (%)34.0%

Sample

1st row174.4
2nd row194.8
3rd row178.3
4th row199.4
5th row180.2
ValueCountFrequency (%)
116.4 8
 
0.8%
138.6 6
 
0.6%
128.9 6
 
0.6%
127.2 6
 
0.6%
125.6 5
 
0.5%
123 5
 
0.5%
126.8 5
 
0.5%
132.3 5
 
0.5%
131.3 5
 
0.5%
133.5 5
 
0.5%
Other values (570) 944
94.4%
2023-12-09T21:02:01.554399image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 1281
26.9%
. 910
19.1%
2 466
 
9.8%
3 405
 
8.5%
4 298
 
6.2%
9 257
 
5.4%
8 245
 
5.1%
6 244
 
5.1%
7 234
 
4.9%
5 223
 
4.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 3859
80.9%
Other Punctuation 910
 
19.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 1281
33.2%
2 466
 
12.1%
3 405
 
10.5%
4 298
 
7.7%
9 257
 
6.7%
8 245
 
6.3%
6 244
 
6.3%
7 234
 
6.1%
5 223
 
5.8%
0 206
 
5.3%
Other Punctuation
ValueCountFrequency (%)
. 910
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 4769
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 1281
26.9%
. 910
19.1%
2 466
 
9.8%
3 405
 
8.5%
4 298
 
6.2%
9 257
 
5.4%
8 245
 
5.1%
6 244
 
5.1%
7 234
 
4.9%
5 223
 
4.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4769
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 1281
26.9%
. 910
19.1%
2 466
 
9.8%
3 405
 
8.5%
4 298
 
6.2%
9 257
 
5.4%
8 245
 
5.1%
6 244
 
5.1%
7 234
 
4.9%
5 223
 
4.7%
Distinct1000
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size65.0 KiB
2023-12-09T21:02:01.923695image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length11
Mean length9.387
Min length7

Characters and Unicode

Total characters9387
Distinct characters22
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1000 ?
Unique (%)100.0%

Sample

1st row69897277.2
2nd row131535719.8
3rd row72093196.1
4th row55904892.8
5th row275896965.8
ValueCountFrequency (%)
5707435.4 1
 
0.1%
19748794.6 1
 
0.1%
5811839.7 1
 
0.1%
2301874.6 1
 
0.1%
27470364.3 1
 
0.1%
1532502.3 1
 
0.1%
15163168.9 1
 
0.1%
7258737.7 1
 
0.1%
148038465.7 1
 
0.1%
7920957.8 1
 
0.1%
Other values (991) 991
99.0%
2023-12-09T21:02:02.420031image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 1185
12.6%
. 905
9.6%
2 880
9.4%
7 850
9.1%
3 846
9.0%
4 815
8.7%
6 810
8.6%
9 801
8.5%
8 800
8.5%
5 797
8.5%
Other values (12) 698
7.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 8469
90.2%
Other Punctuation 905
 
9.6%
Lowercase Letter 10
 
0.1%
Uppercase Letter 2
 
< 0.1%
Space Separator 1
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 1185
14.0%
2 880
10.4%
7 850
10.0%
3 846
10.0%
4 815
9.6%
6 810
9.6%
9 801
9.5%
8 800
9.4%
5 797
9.4%
0 685
8.1%
Lowercase Letter
ValueCountFrequency (%)
l 2
20.0%
a 2
20.0%
v 1
10.0%
b 1
10.0%
i 1
10.0%
t 1
10.0%
o 1
10.0%
e 1
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 1
50.0%
A 1
50.0%
Other Punctuation
ValueCountFrequency (%)
. 905
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 9375
99.9%
Latin 12
 
0.1%

Most frequent character per script

Common
ValueCountFrequency (%)
1 1185
12.6%
. 905
9.7%
2 880
9.4%
7 850
9.1%
3 846
9.0%
4 815
8.7%
6 810
8.6%
9 801
8.5%
8 800
8.5%
5 797
8.5%
Other values (2) 686
7.3%
Latin
ValueCountFrequency (%)
l 2
16.7%
a 2
16.7%
v 1
8.3%
b 1
8.3%
i 1
8.3%
N 1
8.3%
A 1
8.3%
t 1
8.3%
o 1
8.3%
e 1
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 9387
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 1185
12.6%
. 905
9.6%
2 880
9.4%
7 850
9.1%
3 846
9.0%
4 815
8.7%
6 810
8.6%
9 801
8.5%
8 800
8.5%
5 797
8.5%
Other values (12) 698
7.4%
Distinct986
Distinct (%)98.6%
Missing0
Missing (%)0.0%
Memory size65.0 KiB
2023-12-09T21:02:02.800138image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length11
Mean length9.466
Min length7

Characters and Unicode

Total characters9466
Distinct characters22
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique985 ?
Unique (%)98.5%

Sample

1st row71782371.4
2nd row131535719.8
3rd row74042622.4
4th row56782449.1
5th row280907505
ValueCountFrequency (%)
not 15
 
1.5%
available 15
 
1.5%
9933384.5 1
 
0.1%
17034453.6 1
 
0.1%
8922955.4 1
 
0.1%
23278892.2 1
 
0.1%
11708685 1
 
0.1%
4728589 1
 
0.1%
10858134.2 1
 
0.1%
13590642.4 1
 
0.1%
Other values (977) 977
96.3%
2023-12-09T21:02:03.298566image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 1222
12.9%
. 882
9.3%
2 858
9.1%
9 822
8.7%
7 814
8.6%
5 813
8.6%
8 811
8.6%
6 795
8.4%
4 792
8.4%
3 772
8.2%
Other values (12) 885
9.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 8389
88.6%
Other Punctuation 882
 
9.3%
Lowercase Letter 150
 
1.6%
Uppercase Letter 30
 
0.3%
Space Separator 15
 
0.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 1222
14.6%
2 858
10.2%
9 822
9.8%
7 814
9.7%
5 813
9.7%
8 811
9.7%
6 795
9.5%
4 792
9.4%
3 772
9.2%
0 690
8.2%
Lowercase Letter
ValueCountFrequency (%)
l 30
20.0%
a 30
20.0%
i 15
10.0%
b 15
10.0%
e 15
10.0%
o 15
10.0%
v 15
10.0%
t 15
10.0%
Uppercase Letter
ValueCountFrequency (%)
A 15
50.0%
N 15
50.0%
Other Punctuation
ValueCountFrequency (%)
. 882
100.0%
Space Separator
ValueCountFrequency (%)
15
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 9286
98.1%
Latin 180
 
1.9%

Most frequent character per script

Common
ValueCountFrequency (%)
1 1222
13.2%
. 882
9.5%
2 858
9.2%
9 822
8.9%
7 814
8.8%
5 813
8.8%
8 811
8.7%
6 795
8.6%
4 792
8.5%
3 772
8.3%
Other values (2) 705
7.6%
Latin
ValueCountFrequency (%)
l 30
16.7%
a 30
16.7%
i 15
8.3%
b 15
8.3%
e 15
8.3%
o 15
8.3%
v 15
8.3%
A 15
8.3%
t 15
8.3%
N 15
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 9466
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 1222
12.9%
. 882
9.3%
2 858
9.1%
9 822
8.7%
7 814
8.6%
5 813
8.6%
8 811
8.6%
6 795
8.4%
4 792
8.4%
3 772
8.2%
Other values (12) 885
9.3%

fuel_oil_1_use_kbtu
Text

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size68.5 KiB
2023-12-09T21:02:03.484317image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length13
Min length13

Characters and Unicode

Total characters13000
Distinct characters11
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 1000
50.0%
available 1000
50.0%
2023-12-09T21:02:03.760572image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 2000
15.4%
l 2000
15.4%
N 1000
7.7%
o 1000
7.7%
t 1000
7.7%
1000
7.7%
A 1000
7.7%
v 1000
7.7%
i 1000
7.7%
b 1000
7.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 10000
76.9%
Uppercase Letter 2000
 
15.4%
Space Separator 1000
 
7.7%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 2000
20.0%
l 2000
20.0%
o 1000
10.0%
t 1000
10.0%
v 1000
10.0%
i 1000
10.0%
b 1000
10.0%
e 1000
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 1000
50.0%
A 1000
50.0%
Space Separator
ValueCountFrequency (%)
1000
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 12000
92.3%
Common 1000
 
7.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 2000
16.7%
l 2000
16.7%
N 1000
8.3%
o 1000
8.3%
t 1000
8.3%
A 1000
8.3%
v 1000
8.3%
i 1000
8.3%
b 1000
8.3%
e 1000
8.3%
Common
ValueCountFrequency (%)
1000
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 13000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 2000
15.4%
l 2000
15.4%
N 1000
7.7%
o 1000
7.7%
t 1000
7.7%
1000
7.7%
A 1000
7.7%
v 1000
7.7%
i 1000
7.7%
b 1000
7.7%
Distinct295
Distinct (%)29.5%
Missing0
Missing (%)0.0%
Memory size64.3 KiB
2023-12-09T21:02:04.199722image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length10
Mean length8.746
Min length1

Characters and Unicode

Total characters8746
Distinct characters22
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique274 ?
Unique (%)27.4%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 450
31.0%
available 450
31.0%
0 188
13.0%
276000 12
 
0.8%
344999.9 9
 
0.6%
414000 8
 
0.6%
248400 8
 
0.6%
441600 6
 
0.4%
165600 5
 
0.3%
207000 5
 
0.3%
Other values (286) 309
21.3%
2023-12-09T21:02:04.778291image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
l 900
 
10.3%
a 900
 
10.3%
0 591
 
6.8%
i 450
 
5.1%
o 450
 
5.1%
e 450
 
5.1%
b 450
 
5.1%
N 450
 
5.1%
v 450
 
5.1%
A 450
 
5.1%
Other values (12) 3205
36.6%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 4500
51.5%
Decimal Number 2701
30.9%
Uppercase Letter 900
 
10.3%
Space Separator 450
 
5.1%
Other Punctuation 195
 
2.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 591
21.9%
9 282
10.4%
4 268
9.9%
1 261
9.7%
3 252
9.3%
2 237
8.8%
6 227
 
8.4%
8 200
 
7.4%
7 195
 
7.2%
5 188
 
7.0%
Lowercase Letter
ValueCountFrequency (%)
l 900
20.0%
a 900
20.0%
i 450
10.0%
o 450
10.0%
e 450
10.0%
b 450
10.0%
v 450
10.0%
t 450
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 450
50.0%
A 450
50.0%
Space Separator
ValueCountFrequency (%)
450
100.0%
Other Punctuation
ValueCountFrequency (%)
. 195
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 5400
61.7%
Common 3346
38.3%

Most frequent character per script

Common
ValueCountFrequency (%)
0 591
17.7%
450
13.4%
9 282
8.4%
4 268
8.0%
1 261
7.8%
3 252
7.5%
2 237
7.1%
6 227
 
6.8%
8 200
 
6.0%
7 195
 
5.8%
Other values (2) 383
11.4%
Latin
ValueCountFrequency (%)
l 900
16.7%
a 900
16.7%
i 450
8.3%
o 450
8.3%
e 450
8.3%
b 450
8.3%
N 450
8.3%
v 450
8.3%
A 450
8.3%
t 450
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 8746
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
l 900
 
10.3%
a 900
 
10.3%
0 591
 
6.8%
i 450
 
5.1%
o 450
 
5.1%
e 450
 
5.1%
b 450
 
5.1%
N 450
 
5.1%
v 450
 
5.1%
A 450
 
5.1%
Other values (12) 3205
36.6%
Distinct179
Distinct (%)17.9%
Missing0
Missing (%)0.0%
Memory size67.7 KiB
2023-12-09T21:02:05.153373image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.207
Min length1

Characters and Unicode

Total characters12207
Distinct characters22
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique177 ?
Unique (%)17.7%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 819
45.0%
available 819
45.0%
0 4
 
0.2%
5185335.9 1
 
0.1%
5008237.4 1
 
0.1%
13231979.8 1
 
0.1%
4234773.8 1
 
0.1%
7659160 1
 
0.1%
3854545.9 1
 
0.1%
7741503.8 1
 
0.1%
Other values (170) 170
 
9.3%
2023-12-09T21:02:05.651081image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1638
13.4%
l 1638
13.4%
N 819
 
6.7%
t 819
 
6.7%
819
 
6.7%
A 819
 
6.7%
v 819
 
6.7%
i 819
 
6.7%
b 819
 
6.7%
e 819
 
6.7%
Other values (12) 2379
19.5%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 8190
67.1%
Uppercase Letter 1638
 
13.4%
Decimal Number 1413
 
11.6%
Space Separator 819
 
6.7%
Other Punctuation 147
 
1.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 160
11.3%
4 160
11.3%
6 155
11.0%
9 152
10.8%
1 142
10.0%
3 137
9.7%
2 134
9.5%
7 127
9.0%
8 123
8.7%
0 123
8.7%
Lowercase Letter
ValueCountFrequency (%)
a 1638
20.0%
l 1638
20.0%
t 819
10.0%
v 819
10.0%
i 819
10.0%
b 819
10.0%
e 819
10.0%
o 819
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 819
50.0%
A 819
50.0%
Space Separator
ValueCountFrequency (%)
819
100.0%
Other Punctuation
ValueCountFrequency (%)
. 147
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 9828
80.5%
Common 2379
 
19.5%

Most frequent character per script

Common
ValueCountFrequency (%)
819
34.4%
5 160
 
6.7%
4 160
 
6.7%
6 155
 
6.5%
9 152
 
6.4%
. 147
 
6.2%
1 142
 
6.0%
3 137
 
5.8%
2 134
 
5.6%
7 127
 
5.3%
Other values (2) 246
 
10.3%
Latin
ValueCountFrequency (%)
a 1638
16.7%
l 1638
16.7%
N 819
8.3%
t 819
8.3%
A 819
8.3%
v 819
8.3%
i 819
8.3%
b 819
8.3%
e 819
8.3%
o 819
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12207
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1638
13.4%
l 1638
13.4%
N 819
 
6.7%
t 819
 
6.7%
819
 
6.7%
A 819
 
6.7%
v 819
 
6.7%
i 819
 
6.7%
b 819
 
6.7%
e 819
 
6.7%
Other values (12) 2379
19.5%

fuel_oil_5_6_use_kbtu
Text

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size68.5 KiB
2023-12-09T21:02:05.835129image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length13
Min length13

Characters and Unicode

Total characters13000
Distinct characters11
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 1000
50.0%
available 1000
50.0%
2023-12-09T21:02:06.117182image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 2000
15.4%
l 2000
15.4%
N 1000
7.7%
o 1000
7.7%
t 1000
7.7%
1000
7.7%
A 1000
7.7%
v 1000
7.7%
i 1000
7.7%
b 1000
7.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 10000
76.9%
Uppercase Letter 2000
 
15.4%
Space Separator 1000
 
7.7%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 2000
20.0%
l 2000
20.0%
o 1000
10.0%
t 1000
10.0%
v 1000
10.0%
i 1000
10.0%
b 1000
10.0%
e 1000
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 1000
50.0%
A 1000
50.0%
Space Separator
ValueCountFrequency (%)
1000
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 12000
92.3%
Common 1000
 
7.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 2000
16.7%
l 2000
16.7%
N 1000
8.3%
o 1000
8.3%
t 1000
8.3%
A 1000
8.3%
v 1000
8.3%
i 1000
8.3%
b 1000
8.3%
e 1000
8.3%
Common
ValueCountFrequency (%)
1000
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 13000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 2000
15.4%
l 2000
15.4%
N 1000
7.7%
o 1000
7.7%
t 1000
7.7%
1000
7.7%
A 1000
7.7%
v 1000
7.7%
i 1000
7.7%
b 1000
7.7%
Distinct3
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size68.5 KiB
2023-12-09T21:02:06.292278image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.98
Min length1

Characters and Unicode

Total characters12980
Distinct characters15
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2 ?
Unique (%)0.2%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 998
49.9%
available 998
49.9%
89010 1
 
0.1%
0 1
 
0.1%
2023-12-09T21:02:06.579463image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1996
15.4%
l 1996
15.4%
N 998
7.7%
o 998
7.7%
t 998
7.7%
998
7.7%
A 998
7.7%
v 998
7.7%
i 998
7.7%
b 998
7.7%
Other values (5) 1004
7.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9980
76.9%
Uppercase Letter 1996
 
15.4%
Space Separator 998
 
7.7%
Decimal Number 6
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 1996
20.0%
l 1996
20.0%
o 998
10.0%
t 998
10.0%
v 998
10.0%
i 998
10.0%
b 998
10.0%
e 998
10.0%
Decimal Number
ValueCountFrequency (%)
0 3
50.0%
8 1
 
16.7%
9 1
 
16.7%
1 1
 
16.7%
Uppercase Letter
ValueCountFrequency (%)
N 998
50.0%
A 998
50.0%
Space Separator
ValueCountFrequency (%)
998
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11976
92.3%
Common 1004
 
7.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 1996
16.7%
l 1996
16.7%
N 998
8.3%
o 998
8.3%
t 998
8.3%
A 998
8.3%
v 998
8.3%
i 998
8.3%
b 998
8.3%
e 998
8.3%
Common
ValueCountFrequency (%)
998
99.4%
0 3
 
0.3%
8 1
 
0.1%
9 1
 
0.1%
1 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12980
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1996
15.4%
l 1996
15.4%
N 998
7.7%
o 998
7.7%
t 998
7.7%
998
7.7%
A 998
7.7%
v 998
7.7%
i 998
7.7%
b 998
7.7%
Other values (5) 1004
7.7%

propane_use_kbtu
Text

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size68.5 KiB
2023-12-09T21:02:06.745811image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length13
Min length13

Characters and Unicode

Total characters13000
Distinct characters11
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 1000
50.0%
available 1000
50.0%
2023-12-09T21:02:07.027853image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 2000
15.4%
l 2000
15.4%
N 1000
7.7%
o 1000
7.7%
t 1000
7.7%
1000
7.7%
A 1000
7.7%
v 1000
7.7%
i 1000
7.7%
b 1000
7.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 10000
76.9%
Uppercase Letter 2000
 
15.4%
Space Separator 1000
 
7.7%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 2000
20.0%
l 2000
20.0%
o 1000
10.0%
t 1000
10.0%
v 1000
10.0%
i 1000
10.0%
b 1000
10.0%
e 1000
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 1000
50.0%
A 1000
50.0%
Space Separator
ValueCountFrequency (%)
1000
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 12000
92.3%
Common 1000
 
7.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 2000
16.7%
l 2000
16.7%
N 1000
8.3%
o 1000
8.3%
t 1000
8.3%
A 1000
8.3%
v 1000
8.3%
i 1000
8.3%
b 1000
8.3%
e 1000
8.3%
Common
ValueCountFrequency (%)
1000
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 13000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 2000
15.4%
l 2000
15.4%
N 1000
7.7%
o 1000
7.7%
t 1000
7.7%
1000
7.7%
A 1000
7.7%
v 1000
7.7%
i 1000
7.7%
b 1000
7.7%
Distinct120
Distinct (%)12.0%
Missing0
Missing (%)0.0%
Memory size68.1 KiB
2023-12-09T21:02:07.370916image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.568
Min length6

Characters and Unicode

Total characters12568
Distinct characters23
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique118 ?
Unique (%)11.8%

Sample

1st row6414034.1
2nd row75992330.6
3rd row10562069.7
4th row12357732.6
5th row10949895.3
ValueCountFrequency (%)
not 880
46.8%
available 880
46.8%
891619.5 2
 
0.1%
30603430.8 1
 
0.1%
23941994.4 1
 
0.1%
19176832.9 1
 
0.1%
403979953.1 1
 
0.1%
8061715.1 1
 
0.1%
2118156.1 1
 
0.1%
13534291.5 1
 
0.1%
Other values (111) 111
 
5.9%
2023-12-09T21:02:07.855731image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1760
14.0%
l 1760
14.0%
N 880
7.0%
t 880
7.0%
880
7.0%
A 880
7.0%
v 880
7.0%
i 880
7.0%
b 880
7.0%
e 880
7.0%
Other values (13) 2008
16.0%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 8800
70.0%
Uppercase Letter 1760
 
14.0%
Decimal Number 1019
 
8.1%
Space Separator 880
 
7.0%
Other Punctuation 107
 
0.9%
Dash Punctuation 2
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 143
14.0%
2 116
11.4%
3 105
10.3%
6 105
10.3%
8 99
9.7%
4 98
9.6%
5 91
8.9%
9 91
8.9%
0 87
8.5%
7 84
8.2%
Lowercase Letter
ValueCountFrequency (%)
a 1760
20.0%
l 1760
20.0%
t 880
10.0%
v 880
10.0%
i 880
10.0%
b 880
10.0%
e 880
10.0%
o 880
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 880
50.0%
A 880
50.0%
Space Separator
ValueCountFrequency (%)
880
100.0%
Other Punctuation
ValueCountFrequency (%)
. 107
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 10560
84.0%
Common 2008
 
16.0%

Most frequent character per script

Common
ValueCountFrequency (%)
880
43.8%
1 143
 
7.1%
2 116
 
5.8%
. 107
 
5.3%
3 105
 
5.2%
6 105
 
5.2%
8 99
 
4.9%
4 98
 
4.9%
5 91
 
4.5%
9 91
 
4.5%
Other values (3) 173
 
8.6%
Latin
ValueCountFrequency (%)
a 1760
16.7%
l 1760
16.7%
N 880
8.3%
t 880
8.3%
A 880
8.3%
v 880
8.3%
i 880
8.3%
b 880
8.3%
e 880
8.3%
o 880
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12568
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1760
14.0%
l 1760
14.0%
N 880
7.0%
t 880
7.0%
880
7.0%
A 880
7.0%
v 880
7.0%
i 880
7.0%
b 880
7.0%
e 880
7.0%
Other values (13) 2008
16.0%
Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size68.5 KiB
2023-12-09T21:02:08.039563image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.996
Min length9

Characters and Unicode

Total characters12996
Distinct characters17
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)0.1%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 999
50.0%
available 999
50.0%
7714999.5 1
 
0.1%
2023-12-09T21:02:08.344136image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
l 1998
15.4%
a 1998
15.4%
e 999
7.7%
b 999
7.7%
o 999
7.7%
i 999
7.7%
N 999
7.7%
v 999
7.7%
A 999
7.7%
999
7.7%
Other values (7) 1008
7.8%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9990
76.9%
Uppercase Letter 1998
 
15.4%
Space Separator 999
 
7.7%
Decimal Number 8
 
0.1%
Other Punctuation 1
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
l 1998
20.0%
a 1998
20.0%
e 999
10.0%
b 999
10.0%
o 999
10.0%
i 999
10.0%
v 999
10.0%
t 999
10.0%
Decimal Number
ValueCountFrequency (%)
9 3
37.5%
7 2
25.0%
1 1
 
12.5%
4 1
 
12.5%
5 1
 
12.5%
Uppercase Letter
ValueCountFrequency (%)
N 999
50.0%
A 999
50.0%
Space Separator
ValueCountFrequency (%)
999
100.0%
Other Punctuation
ValueCountFrequency (%)
. 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11988
92.2%
Common 1008
 
7.8%

Most frequent character per script

Latin
ValueCountFrequency (%)
l 1998
16.7%
a 1998
16.7%
e 999
8.3%
b 999
8.3%
o 999
8.3%
i 999
8.3%
N 999
8.3%
v 999
8.3%
A 999
8.3%
t 999
8.3%
Common
ValueCountFrequency (%)
999
99.1%
9 3
 
0.3%
7 2
 
0.2%
1 1
 
0.1%
4 1
 
0.1%
. 1
 
0.1%
5 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12996
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
l 1998
15.4%
a 1998
15.4%
e 999
7.7%
b 999
7.7%
o 999
7.7%
i 999
7.7%
N 999
7.7%
v 999
7.7%
A 999
7.7%
999
7.7%
Other values (7) 1008
7.8%
Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size68.5 KiB
2023-12-09T21:02:08.512328image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.992
Min length9

Characters and Unicode

Total characters12992
Distinct characters18
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 998
49.9%
available 998
49.9%
1784499.2 2
 
0.1%
2023-12-09T21:02:08.808969image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1996
15.4%
l 1996
15.4%
N 998
7.7%
e 998
7.7%
o 998
7.7%
i 998
7.7%
b 998
7.7%
v 998
7.7%
A 998
7.7%
998
7.7%
Other values (8) 1016
7.8%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9980
76.8%
Uppercase Letter 1996
 
15.4%
Space Separator 998
 
7.7%
Decimal Number 16
 
0.1%
Other Punctuation 2
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 1996
20.0%
l 1996
20.0%
e 998
10.0%
o 998
10.0%
i 998
10.0%
b 998
10.0%
v 998
10.0%
t 998
10.0%
Decimal Number
ValueCountFrequency (%)
4 4
25.0%
9 4
25.0%
1 2
12.5%
7 2
12.5%
8 2
12.5%
2 2
12.5%
Uppercase Letter
ValueCountFrequency (%)
N 998
50.0%
A 998
50.0%
Space Separator
ValueCountFrequency (%)
998
100.0%
Other Punctuation
ValueCountFrequency (%)
. 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11976
92.2%
Common 1016
 
7.8%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 1996
16.7%
l 1996
16.7%
N 998
8.3%
e 998
8.3%
o 998
8.3%
i 998
8.3%
b 998
8.3%
v 998
8.3%
A 998
8.3%
t 998
8.3%
Common
ValueCountFrequency (%)
998
98.2%
4 4
 
0.4%
9 4
 
0.4%
1 2
 
0.2%
7 2
 
0.2%
8 2
 
0.2%
. 2
 
0.2%
2 2
 
0.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12992
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1996
15.4%
l 1996
15.4%
N 998
7.7%
e 998
7.7%
o 998
7.7%
i 998
7.7%
b 998
7.7%
v 998
7.7%
A 998
7.7%
998
7.7%
Other values (8) 1016
7.8%
Distinct894
Distinct (%)89.4%
Missing0
Missing (%)0.0%
Memory size63.2 KiB
2023-12-09T21:02:09.247010image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length11
Mean length7.61
Min length1

Characters and Unicode

Total characters7610
Distinct characters22
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique874 ?
Unique (%)87.4%

Sample

1st rowNot Available
2nd rowNot Available
3rd row893036.7
4th row804271.7
5th row34039087.3
ValueCountFrequency (%)
not 67
 
6.3%
available 67
 
6.3%
0 17
 
1.6%
500 4
 
0.4%
100 4
 
0.4%
800 3
 
0.3%
700 3
 
0.3%
5300 2
 
0.2%
600 2
 
0.2%
13700 2
 
0.2%
Other values (885) 896
84.0%
2023-12-09T21:02:09.832169image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 1710
22.5%
9 816
10.7%
1 607
 
8.0%
2 556
 
7.3%
3 502
 
6.6%
4 463
 
6.1%
. 434
 
5.7%
5 421
 
5.5%
7 418
 
5.5%
8 415
 
5.5%
Other values (12) 1268
16.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 6305
82.9%
Lowercase Letter 670
 
8.8%
Other Punctuation 434
 
5.7%
Uppercase Letter 134
 
1.8%
Space Separator 67
 
0.9%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1710
27.1%
9 816
12.9%
1 607
 
9.6%
2 556
 
8.8%
3 502
 
8.0%
4 463
 
7.3%
5 421
 
6.7%
7 418
 
6.6%
8 415
 
6.6%
6 397
 
6.3%
Lowercase Letter
ValueCountFrequency (%)
l 134
20.0%
a 134
20.0%
i 67
10.0%
b 67
10.0%
e 67
10.0%
o 67
10.0%
v 67
10.0%
t 67
10.0%
Uppercase Letter
ValueCountFrequency (%)
A 67
50.0%
N 67
50.0%
Other Punctuation
ValueCountFrequency (%)
. 434
100.0%
Space Separator
ValueCountFrequency (%)
67
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 6806
89.4%
Latin 804
 
10.6%

Most frequent character per script

Common
ValueCountFrequency (%)
0 1710
25.1%
9 816
12.0%
1 607
 
8.9%
2 556
 
8.2%
3 502
 
7.4%
4 463
 
6.8%
. 434
 
6.4%
5 421
 
6.2%
7 418
 
6.1%
8 415
 
6.1%
Other values (2) 464
 
6.8%
Latin
ValueCountFrequency (%)
l 134
16.7%
a 134
16.7%
i 67
8.3%
b 67
8.3%
e 67
8.3%
o 67
8.3%
v 67
8.3%
A 67
8.3%
t 67
8.3%
N 67
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 7610
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 1710
22.5%
9 816
10.7%
1 607
 
8.0%
2 556
 
7.3%
3 502
 
6.6%
4 463
 
6.1%
. 434
 
5.7%
5 421
 
5.5%
7 418
 
5.5%
8 415
 
5.5%
Other values (12) 1268
16.7%
Distinct912
Distinct (%)91.2%
Missing0
Missing (%)0.0%
Memory size66.3 KiB
2023-12-09T21:02:10.200895image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length11
Mean length10.783
Min length1

Characters and Unicode

Total characters10783
Distinct characters22
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique905 ?
Unique (%)90.5%

Sample

1st rowNot Available
2nd rowNot Available
3rd row8930.366754
4th row8042.71694
5th row340390.8727
ValueCountFrequency (%)
not 67
 
6.3%
available 67
 
6.3%
0 17
 
1.6%
0.99999986 3
 
0.3%
1.99999976 2
 
0.2%
5.99999942 2
 
0.2%
649.0000314 2
 
0.2%
4.99999948 2
 
0.2%
19957.99791 1
 
0.1%
253.9999917 1
 
0.1%
Other values (903) 903
84.6%
2023-12-09T21:02:10.692791image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
9 1970
18.3%
0 1711
15.9%
. 912
8.5%
1 819
7.6%
2 699
 
6.5%
3 680
 
6.3%
4 657
 
6.1%
8 640
 
5.9%
5 623
 
5.8%
7 604
 
5.6%
Other values (12) 1468
13.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 9000
83.5%
Other Punctuation 912
 
8.5%
Lowercase Letter 670
 
6.2%
Uppercase Letter 134
 
1.2%
Space Separator 67
 
0.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
9 1970
21.9%
0 1711
19.0%
1 819
9.1%
2 699
 
7.8%
3 680
 
7.6%
4 657
 
7.3%
8 640
 
7.1%
5 623
 
6.9%
7 604
 
6.7%
6 597
 
6.6%
Lowercase Letter
ValueCountFrequency (%)
a 134
20.0%
l 134
20.0%
i 67
10.0%
b 67
10.0%
e 67
10.0%
o 67
10.0%
v 67
10.0%
t 67
10.0%
Uppercase Letter
ValueCountFrequency (%)
A 67
50.0%
N 67
50.0%
Other Punctuation
ValueCountFrequency (%)
. 912
100.0%
Space Separator
ValueCountFrequency (%)
67
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 9979
92.5%
Latin 804
 
7.5%

Most frequent character per script

Common
ValueCountFrequency (%)
9 1970
19.7%
0 1711
17.1%
. 912
9.1%
1 819
8.2%
2 699
 
7.0%
3 680
 
6.8%
4 657
 
6.6%
8 640
 
6.4%
5 623
 
6.2%
7 604
 
6.1%
Other values (2) 664
 
6.7%
Latin
ValueCountFrequency (%)
a 134
16.7%
l 134
16.7%
i 67
8.3%
b 67
8.3%
e 67
8.3%
o 67
8.3%
v 67
8.3%
A 67
8.3%
t 67
8.3%
N 67
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 10783
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
9 1970
18.3%
0 1711
15.9%
. 912
8.5%
1 819
7.6%
2 699
 
6.5%
3 680
 
6.3%
4 657
 
6.1%
8 640
 
5.9%
5 623
 
5.8%
7 604
 
5.6%
Other values (12) 1468
13.6%
Distinct901
Distinct (%)90.1%
Missing0
Missing (%)0.0%
Memory size61.8 KiB
2023-12-09T21:02:11.186617image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length10
Mean length6.168
Min length1

Characters and Unicode

Total characters6168
Distinct characters22
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique889 ?
Unique (%)88.9%

Sample

1st rowNot Available
2nd rowNot Available
3rd row8930.4
4th row8042.7
5th row379902.4
ValueCountFrequency (%)
not 70
 
6.5%
available 70
 
6.5%
0 17
 
1.6%
1 4
 
0.4%
7 3
 
0.3%
5 3
 
0.3%
843.9 2
 
0.2%
348 2
 
0.2%
137 2
 
0.2%
53 2
 
0.2%
Other values (892) 895
83.6%
2023-12-09T21:02:11.810700image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 604
9.8%
1 555
9.0%
2 532
8.6%
4 527
8.5%
3 499
8.1%
5 463
 
7.5%
6 461
 
7.5%
9 446
 
7.2%
8 440
 
7.1%
7 396
 
6.4%
Other values (12) 1245
20.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 4654
75.5%
Lowercase Letter 700
 
11.3%
Other Punctuation 604
 
9.8%
Uppercase Letter 140
 
2.3%
Space Separator 70
 
1.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 555
11.9%
2 532
11.4%
4 527
11.3%
3 499
10.7%
5 463
9.9%
6 461
9.9%
9 446
9.6%
8 440
9.5%
7 396
8.5%
0 335
7.2%
Lowercase Letter
ValueCountFrequency (%)
l 140
20.0%
a 140
20.0%
o 70
10.0%
e 70
10.0%
b 70
10.0%
i 70
10.0%
v 70
10.0%
t 70
10.0%
Uppercase Letter
ValueCountFrequency (%)
A 70
50.0%
N 70
50.0%
Other Punctuation
ValueCountFrequency (%)
. 604
100.0%
Space Separator
ValueCountFrequency (%)
70
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 5328
86.4%
Latin 840
 
13.6%

Most frequent character per script

Common
ValueCountFrequency (%)
. 604
11.3%
1 555
10.4%
2 532
10.0%
4 527
9.9%
3 499
9.4%
5 463
8.7%
6 461
8.7%
9 446
8.4%
8 440
8.3%
7 396
7.4%
Other values (2) 405
7.6%
Latin
ValueCountFrequency (%)
l 140
16.7%
a 140
16.7%
o 70
8.3%
e 70
8.3%
b 70
8.3%
i 70
8.3%
v 70
8.3%
A 70
8.3%
t 70
8.3%
N 70
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6168
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 604
9.8%
1 555
9.0%
2 532
8.6%
4 527
8.5%
3 499
8.1%
5 463
 
7.5%
6 461
 
7.5%
9 446
 
7.2%
8 440
 
7.1%
7 396
 
6.4%
Other values (12) 1245
20.2%
Distinct960
Distinct (%)96.0%
Missing0
Missing (%)0.0%
Memory size64.3 KiB
2023-12-09T21:02:12.210277image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length9
Mean length8.718
Min length1

Characters and Unicode

Total characters8718
Distinct characters22
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique924 ?
Unique (%)92.4%

Sample

1st row22207475.2
2nd row14326365.4
3rd row20874608.4
4th row14354838.4
5th row81065267.9
ValueCountFrequency (%)
1323856 4
 
0.4%
1261075.2 3
 
0.3%
1233779.2 3
 
0.3%
708604.2 2
 
0.2%
1561331.2 2
 
0.2%
2104521.6 2
 
0.2%
2666819.2 2
 
0.2%
335740.8 2
 
0.2%
2052659.2 2
 
0.2%
2705033.5 2
 
0.2%
Other values (951) 977
97.6%
2023-12-09T21:02:12.733896image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 1114
12.8%
2 926
10.6%
. 886
10.2%
4 804
9.2%
8 794
9.1%
6 764
8.8%
3 753
8.6%
5 717
8.2%
9 672
7.7%
0 651
7.5%
Other values (12) 637
7.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 7819
89.7%
Other Punctuation 886
 
10.2%
Lowercase Letter 10
 
0.1%
Uppercase Letter 2
 
< 0.1%
Space Separator 1
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 1114
14.2%
2 926
11.8%
4 804
10.3%
8 794
10.2%
6 764
9.8%
3 753
9.6%
5 717
9.2%
9 672
8.6%
0 651
8.3%
7 624
8.0%
Lowercase Letter
ValueCountFrequency (%)
l 2
20.0%
a 2
20.0%
v 1
10.0%
b 1
10.0%
i 1
10.0%
t 1
10.0%
o 1
10.0%
e 1
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 1
50.0%
A 1
50.0%
Other Punctuation
ValueCountFrequency (%)
. 886
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 8706
99.9%
Latin 12
 
0.1%

Most frequent character per script

Common
ValueCountFrequency (%)
1 1114
12.8%
2 926
10.6%
. 886
10.2%
4 804
9.2%
8 794
9.1%
6 764
8.8%
3 753
8.6%
5 717
8.2%
9 672
7.7%
0 651
7.5%
Other values (2) 625
7.2%
Latin
ValueCountFrequency (%)
l 2
16.7%
a 2
16.7%
v 1
8.3%
b 1
8.3%
i 1
8.3%
N 1
8.3%
A 1
8.3%
t 1
8.3%
o 1
8.3%
e 1
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 8718
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 1114
12.8%
2 926
10.6%
. 886
10.2%
4 804
9.2%
8 794
9.1%
6 764
8.8%
3 753
8.6%
5 717
8.2%
9 672
7.7%
0 651
7.5%
Other values (12) 637
7.3%
Distinct957
Distinct (%)95.7%
Missing0
Missing (%)0.0%
Memory size63.2 KiB
2023-12-09T21:02:13.145486image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length10
Mean length7.54
Min length1

Characters and Unicode

Total characters7540
Distinct characters22
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique915 ?
Unique (%)91.5%

Sample

1st row6508637.9
2nd row4198817
3rd row6117997
4th row4207162
5th row23758868.1
ValueCountFrequency (%)
361600 3
 
0.3%
270400 2
 
0.2%
207680 2
 
0.2%
950399.9 2
 
0.2%
352320 2
 
0.2%
433599.9 2
 
0.2%
368800 2
 
0.2%
571999.9 2
 
0.2%
245760 2
 
0.2%
262400 2
 
0.2%
Other values (948) 980
97.9%
2023-12-09T21:02:13.678706image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
9 1734
23.0%
0 857
11.4%
1 660
 
8.8%
. 627
 
8.3%
3 598
 
7.9%
5 568
 
7.5%
4 545
 
7.2%
2 535
 
7.1%
7 496
 
6.6%
6 454
 
6.0%
Other values (12) 466
 
6.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 6900
91.5%
Other Punctuation 627
 
8.3%
Lowercase Letter 10
 
0.1%
Uppercase Letter 2
 
< 0.1%
Space Separator 1
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
9 1734
25.1%
0 857
12.4%
1 660
 
9.6%
3 598
 
8.7%
5 568
 
8.2%
4 545
 
7.9%
2 535
 
7.8%
7 496
 
7.2%
6 454
 
6.6%
8 453
 
6.6%
Lowercase Letter
ValueCountFrequency (%)
l 2
20.0%
a 2
20.0%
v 1
10.0%
b 1
10.0%
i 1
10.0%
t 1
10.0%
o 1
10.0%
e 1
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 1
50.0%
A 1
50.0%
Other Punctuation
ValueCountFrequency (%)
. 627
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 7528
99.8%
Latin 12
 
0.2%

Most frequent character per script

Common
ValueCountFrequency (%)
9 1734
23.0%
0 857
11.4%
1 660
 
8.8%
. 627
 
8.3%
3 598
 
7.9%
5 568
 
7.5%
4 545
 
7.2%
2 535
 
7.1%
7 496
 
6.6%
6 454
 
6.0%
Other values (2) 454
 
6.0%
Latin
ValueCountFrequency (%)
l 2
16.7%
a 2
16.7%
v 1
8.3%
b 1
8.3%
i 1
8.3%
N 1
8.3%
A 1
8.3%
t 1
8.3%
o 1
8.3%
e 1
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 7540
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
9 1734
23.0%
0 857
11.4%
1 660
 
8.8%
. 627
 
8.3%
3 598
 
7.9%
5 568
 
7.5%
4 545
 
7.2%
2 535
 
7.1%
7 496
 
6.6%
6 454
 
6.0%
Other values (12) 466
 
6.2%
Distinct959
Distinct (%)95.9%
Missing0
Missing (%)0.0%
Memory size63.2 KiB
2023-12-09T21:02:14.049340image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length10
Mean length7.604
Min length1

Characters and Unicode

Total characters7604
Distinct characters22
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique919 ?
Unique (%)91.9%

Sample

1st row6508637.9
2nd row4198817
3rd row6117997
4th row4207162
5th row23758868.1
ValueCountFrequency (%)
361600 3
 
0.3%
388000 2
 
0.2%
557999.9 2
 
0.2%
260800 2
 
0.2%
362800 2
 
0.2%
554399.9 2
 
0.2%
378400 2
 
0.2%
572799.9 2
 
0.2%
344960 2
 
0.2%
377200 2
 
0.2%
Other values (950) 981
97.9%
2023-12-09T21:02:14.548059image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
9 1608
21.1%
0 845
11.1%
1 666
8.8%
. 656
8.6%
3 616
 
8.1%
5 591
 
7.8%
2 564
 
7.4%
4 561
 
7.4%
7 517
 
6.8%
6 484
 
6.4%
Other values (12) 496
 
6.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 6922
91.0%
Other Punctuation 656
 
8.6%
Lowercase Letter 20
 
0.3%
Uppercase Letter 4
 
0.1%
Space Separator 2
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
9 1608
23.2%
0 845
12.2%
1 666
9.6%
3 616
 
8.9%
5 591
 
8.5%
2 564
 
8.1%
4 561
 
8.1%
7 517
 
7.5%
6 484
 
7.0%
8 470
 
6.8%
Lowercase Letter
ValueCountFrequency (%)
l 4
20.0%
a 4
20.0%
v 2
10.0%
b 2
10.0%
i 2
10.0%
t 2
10.0%
o 2
10.0%
e 2
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 2
50.0%
A 2
50.0%
Other Punctuation
ValueCountFrequency (%)
. 656
100.0%
Space Separator
ValueCountFrequency (%)
2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 7580
99.7%
Latin 24
 
0.3%

Most frequent character per script

Common
ValueCountFrequency (%)
9 1608
21.2%
0 845
11.1%
1 666
8.8%
. 656
8.7%
3 616
 
8.1%
5 591
 
7.8%
2 564
 
7.4%
4 561
 
7.4%
7 517
 
6.8%
6 484
 
6.4%
Other values (2) 472
 
6.2%
Latin
ValueCountFrequency (%)
l 4
16.7%
a 4
16.7%
v 2
8.3%
b 2
8.3%
i 2
8.3%
N 2
8.3%
A 2
8.3%
t 2
8.3%
o 2
8.3%
e 2
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 7604
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
9 1608
21.1%
0 845
11.1%
1 666
8.8%
. 656
8.6%
3 616
 
8.1%
5 591
 
7.8%
2 564
 
7.4%
4 561
 
7.4%
7 517
 
6.8%
6 484
 
6.4%
Other values (12) 496
 
6.5%
Distinct950
Distinct (%)95.0%
Missing0
Missing (%)0.0%
Memory size62.0 KiB
2023-12-09T21:02:14.925288image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length6
Mean length6.362
Min length1

Characters and Unicode

Total characters6362
Distinct characters22
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique905 ?
Unique (%)90.5%

Sample

1st row6508639
2nd row4198818
3rd row6117998
4th row4207162
5th row23758870
ValueCountFrequency (%)
388000 4
 
0.4%
369600 3
 
0.3%
361600 3
 
0.3%
428320 3
 
0.3%
363520 2
 
0.2%
548800 2
 
0.2%
400000 2
 
0.2%
554400 2
 
0.2%
572000 2
 
0.2%
1047600 2
 
0.2%
Other values (941) 976
97.5%
2023-12-09T21:02:15.434305image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 1844
29.0%
2 661
 
10.4%
4 658
 
10.3%
6 546
 
8.6%
1 517
 
8.1%
8 494
 
7.8%
3 462
 
7.3%
5 430
 
6.8%
7 371
 
5.8%
9 329
 
5.2%
Other values (12) 50
 
0.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 6312
99.2%
Other Punctuation 37
 
0.6%
Lowercase Letter 10
 
0.2%
Uppercase Letter 2
 
< 0.1%
Space Separator 1
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1844
29.2%
2 661
 
10.5%
4 658
 
10.4%
6 546
 
8.7%
1 517
 
8.2%
8 494
 
7.8%
3 462
 
7.3%
5 430
 
6.8%
7 371
 
5.9%
9 329
 
5.2%
Lowercase Letter
ValueCountFrequency (%)
l 2
20.0%
a 2
20.0%
v 1
10.0%
b 1
10.0%
i 1
10.0%
t 1
10.0%
o 1
10.0%
e 1
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 1
50.0%
A 1
50.0%
Other Punctuation
ValueCountFrequency (%)
. 37
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 6350
99.8%
Latin 12
 
0.2%

Most frequent character per script

Common
ValueCountFrequency (%)
0 1844
29.0%
2 661
 
10.4%
4 658
 
10.4%
6 546
 
8.6%
1 517
 
8.1%
8 494
 
7.8%
3 462
 
7.3%
5 430
 
6.8%
7 371
 
5.8%
9 329
 
5.2%
Other values (2) 38
 
0.6%
Latin
ValueCountFrequency (%)
l 2
16.7%
a 2
16.7%
v 1
8.3%
b 1
8.3%
i 1
8.3%
N 1
8.3%
A 1
8.3%
t 1
8.3%
o 1
8.3%
e 1
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6362
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 1844
29.0%
2 661
 
10.4%
4 658
 
10.3%
6 546
 
8.6%
1 517
 
8.1%
8 494
 
7.8%
3 462
 
7.3%
5 430
 
6.8%
7 371
 
5.8%
9 329
 
5.2%
Other values (12) 50
 
0.8%
Distinct950
Distinct (%)95.0%
Missing0
Missing (%)0.0%
Memory size64.2 KiB
2023-12-09T21:02:15.838093image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length9
Mean length8.651
Min length1

Characters and Unicode

Total characters8651
Distinct characters22
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique905 ?
Unique (%)90.5%

Sample

1st row22207476.3
2nd row14326367
3rd row20874609.2
4th row14354836.7
5th row81065264.4
ValueCountFrequency (%)
1323856 4
 
0.4%
1233779.2 3
 
0.3%
1261075.2 3
 
0.3%
1461427.8 3
 
0.3%
1240330.2 2
 
0.2%
1561331.2 2
 
0.2%
1236508.8 2
 
0.2%
1667785.6 2
 
0.2%
1602821.1 2
 
0.2%
2183680 2
 
0.2%
Other values (941) 976
97.5%
2023-12-09T21:02:17.853668image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 1098
12.7%
2 955
11.0%
. 851
9.8%
4 828
9.6%
8 811
9.4%
6 800
9.2%
3 737
8.5%
5 661
7.6%
0 645
7.5%
9 642
7.4%
Other values (12) 623
7.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 7787
90.0%
Other Punctuation 851
 
9.8%
Lowercase Letter 10
 
0.1%
Uppercase Letter 2
 
< 0.1%
Space Separator 1
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 1098
14.1%
2 955
12.3%
4 828
10.6%
8 811
10.4%
6 800
10.3%
3 737
9.5%
5 661
8.5%
0 645
8.3%
9 642
8.2%
7 610
7.8%
Lowercase Letter
ValueCountFrequency (%)
l 2
20.0%
a 2
20.0%
v 1
10.0%
b 1
10.0%
i 1
10.0%
t 1
10.0%
o 1
10.0%
e 1
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 1
50.0%
A 1
50.0%
Other Punctuation
ValueCountFrequency (%)
. 851
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 8639
99.9%
Latin 12
 
0.1%

Most frequent character per script

Common
ValueCountFrequency (%)
1 1098
12.7%
2 955
11.1%
. 851
9.9%
4 828
9.6%
8 811
9.4%
6 800
9.3%
3 737
8.5%
5 661
7.7%
0 645
7.5%
9 642
7.4%
Other values (2) 611
7.1%
Latin
ValueCountFrequency (%)
l 2
16.7%
a 2
16.7%
v 1
8.3%
b 1
8.3%
i 1
8.3%
N 1
8.3%
A 1
8.3%
t 1
8.3%
o 1
8.3%
e 1
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 8651
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 1098
12.7%
2 955
11.0%
. 851
9.8%
4 828
9.6%
8 811
9.4%
6 800
9.2%
3 737
8.5%
5 661
7.6%
0 645
7.5%
9 642
7.4%
Other values (12) 623
7.2%
Distinct29
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Memory size68.3 KiB
2023-12-09T21:02:18.103507image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.838
Min length3

Characters and Unicode

Total characters12838
Distinct characters22
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique28 ?
Unique (%)2.8%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 972
49.3%
available 972
49.3%
284183.6 1
 
0.1%
91778.2 1
 
0.1%
213591 1
 
0.1%
147180 1
 
0.1%
120470.7 1
 
0.1%
906 1
 
0.1%
372731 1
 
0.1%
220576.1 1
 
0.1%
Other values (20) 20
 
1.0%
2023-12-09T21:02:18.469892image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
l 1944
15.1%
a 1944
15.1%
o 972
7.6%
e 972
7.6%
b 972
7.6%
i 972
7.6%
N 972
7.6%
v 972
7.6%
A 972
7.6%
972
7.6%
Other values (12) 1174
9.1%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9720
75.7%
Uppercase Letter 1944
 
15.1%
Space Separator 972
 
7.6%
Decimal Number 180
 
1.4%
Other Punctuation 22
 
0.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 26
14.4%
7 23
12.8%
2 22
12.2%
6 18
10.0%
8 17
9.4%
5 16
8.9%
3 16
8.9%
4 15
8.3%
0 15
8.3%
9 12
6.7%
Lowercase Letter
ValueCountFrequency (%)
l 1944
20.0%
a 1944
20.0%
o 972
10.0%
e 972
10.0%
b 972
10.0%
i 972
10.0%
v 972
10.0%
t 972
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 972
50.0%
A 972
50.0%
Space Separator
ValueCountFrequency (%)
972
100.0%
Other Punctuation
ValueCountFrequency (%)
. 22
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11664
90.9%
Common 1174
 
9.1%

Most frequent character per script

Common
ValueCountFrequency (%)
972
82.8%
1 26
 
2.2%
7 23
 
2.0%
. 22
 
1.9%
2 22
 
1.9%
6 18
 
1.5%
8 17
 
1.4%
5 16
 
1.4%
3 16
 
1.4%
4 15
 
1.3%
Other values (2) 27
 
2.3%
Latin
ValueCountFrequency (%)
l 1944
16.7%
a 1944
16.7%
o 972
8.3%
e 972
8.3%
b 972
8.3%
i 972
8.3%
N 972
8.3%
v 972
8.3%
A 972
8.3%
t 972
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12838
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
l 1944
15.1%
a 1944
15.1%
o 972
7.6%
e 972
7.6%
b 972
7.6%
i 972
7.6%
N 972
7.6%
v 972
7.6%
A 972
7.6%
972
7.6%
Other values (12) 1174
9.1%
Distinct29
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Memory size68.3 KiB
2023-12-09T21:02:18.717279image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.851
Min length6

Characters and Unicode

Total characters12851
Distinct characters22
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique28 ?
Unique (%)2.8%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 972
49.3%
available 972
49.3%
1182720 1
 
0.1%
752605.7 1
 
0.1%
383180.6 1
 
0.1%
727644.8 1
 
0.1%
884932.2 1
 
0.1%
456398.7 1
 
0.1%
728772.5 1
 
0.1%
1271758.2 1
 
0.1%
Other values (20) 20
 
1.0%
2023-12-09T21:02:19.092905image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1944
15.1%
l 1944
15.1%
N 972
7.6%
t 972
7.6%
972
7.6%
A 972
7.6%
v 972
7.6%
i 972
7.6%
b 972
7.6%
e 972
7.6%
Other values (12) 1187
9.2%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9720
75.6%
Uppercase Letter 1944
 
15.1%
Space Separator 972
 
7.6%
Decimal Number 191
 
1.5%
Other Punctuation 24
 
0.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 29
15.2%
8 25
13.1%
2 24
12.6%
6 18
9.4%
7 17
8.9%
5 17
8.9%
9 17
8.9%
4 16
8.4%
3 16
8.4%
0 12
6.3%
Lowercase Letter
ValueCountFrequency (%)
a 1944
20.0%
l 1944
20.0%
t 972
10.0%
v 972
10.0%
i 972
10.0%
b 972
10.0%
e 972
10.0%
o 972
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 972
50.0%
A 972
50.0%
Space Separator
ValueCountFrequency (%)
972
100.0%
Other Punctuation
ValueCountFrequency (%)
. 24
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11664
90.8%
Common 1187
 
9.2%

Most frequent character per script

Common
ValueCountFrequency (%)
972
81.9%
1 29
 
2.4%
8 25
 
2.1%
. 24
 
2.0%
2 24
 
2.0%
6 18
 
1.5%
7 17
 
1.4%
5 17
 
1.4%
9 17
 
1.4%
4 16
 
1.3%
Other values (2) 28
 
2.4%
Latin
ValueCountFrequency (%)
a 1944
16.7%
l 1944
16.7%
N 972
8.3%
t 972
8.3%
A 972
8.3%
v 972
8.3%
i 972
8.3%
b 972
8.3%
e 972
8.3%
o 972
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12851
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1944
15.1%
l 1944
15.1%
N 972
7.6%
t 972
7.6%
972
7.6%
A 972
7.6%
v 972
7.6%
i 972
7.6%
b 972
7.6%
e 972
7.6%
Other values (12) 1187
9.2%
Distinct29
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Memory size68.3 KiB
2023-12-09T21:02:19.343580image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.835
Min length3

Characters and Unicode

Total characters12835
Distinct characters22
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique28 ?
Unique (%)2.8%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 972
49.3%
available 972
49.3%
147363.6 1
 
0.1%
213591 1
 
0.1%
275135.2 1
 
0.1%
134945 1
 
0.1%
287954 1
 
0.1%
120470.7 1
 
0.1%
2504.6 1
 
0.1%
906 1
 
0.1%
Other values (20) 20
 
1.0%
2023-12-09T21:02:19.712952image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1944
15.1%
l 1944
15.1%
N 972
7.6%
t 972
7.6%
972
7.6%
A 972
7.6%
v 972
7.6%
i 972
7.6%
b 972
7.6%
e 972
7.6%
Other values (12) 1171
9.1%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9720
75.7%
Uppercase Letter 1944
 
15.1%
Space Separator 972
 
7.6%
Decimal Number 179
 
1.4%
Other Punctuation 20
 
0.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 24
13.4%
3 22
12.3%
6 21
11.7%
1 20
11.2%
7 18
10.1%
4 18
10.1%
5 18
10.1%
8 14
7.8%
0 13
7.3%
9 11
6.1%
Lowercase Letter
ValueCountFrequency (%)
a 1944
20.0%
l 1944
20.0%
t 972
10.0%
v 972
10.0%
i 972
10.0%
b 972
10.0%
e 972
10.0%
o 972
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 972
50.0%
A 972
50.0%
Space Separator
ValueCountFrequency (%)
972
100.0%
Other Punctuation
ValueCountFrequency (%)
. 20
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11664
90.9%
Common 1171
 
9.1%

Most frequent character per script

Common
ValueCountFrequency (%)
972
83.0%
2 24
 
2.0%
3 22
 
1.9%
6 21
 
1.8%
1 20
 
1.7%
. 20
 
1.7%
7 18
 
1.5%
4 18
 
1.5%
5 18
 
1.5%
8 14
 
1.2%
Other values (2) 24
 
2.0%
Latin
ValueCountFrequency (%)
a 1944
16.7%
l 1944
16.7%
N 972
8.3%
t 972
8.3%
A 972
8.3%
v 972
8.3%
i 972
8.3%
b 972
8.3%
e 972
8.3%
o 972
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12835
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1944
15.1%
l 1944
15.1%
N 972
7.6%
t 972
7.6%
972
7.6%
A 972
7.6%
v 972
7.6%
i 972
7.6%
b 972
7.6%
e 972
7.6%
Other values (12) 1171
9.1%
Distinct16
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size68.2 KiB
2023-12-09T21:02:19.920063image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.742
Min length1

Characters and Unicode

Total characters12742
Distinct characters22
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique14 ?
Unique (%)1.4%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 972
49.3%
available 972
49.3%
0 14
 
0.7%
183.6 1
 
0.1%
16985.9 1
 
0.1%
59019.8 1
 
0.1%
628.1 1
 
0.1%
1219.7 1
 
0.1%
1182.2 1
 
0.1%
161787.8 1
 
0.1%
Other values (7) 7
 
0.4%
2023-12-09T21:02:20.247077image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1944
15.3%
l 1944
15.3%
N 972
7.6%
o 972
7.6%
t 972
7.6%
972
7.6%
A 972
7.6%
v 972
7.6%
i 972
7.6%
b 972
7.6%
Other values (12) 1078
8.5%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9720
76.3%
Uppercase Letter 1944
 
15.3%
Space Separator 972
 
7.6%
Decimal Number 92
 
0.7%
Other Punctuation 14
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 18
19.6%
8 15
16.3%
1 14
15.2%
6 9
9.8%
7 8
8.7%
2 8
8.7%
3 6
 
6.5%
9 6
 
6.5%
4 5
 
5.4%
5 3
 
3.3%
Lowercase Letter
ValueCountFrequency (%)
a 1944
20.0%
l 1944
20.0%
o 972
10.0%
t 972
10.0%
v 972
10.0%
i 972
10.0%
b 972
10.0%
e 972
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 972
50.0%
A 972
50.0%
Space Separator
ValueCountFrequency (%)
972
100.0%
Other Punctuation
ValueCountFrequency (%)
. 14
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11664
91.5%
Common 1078
 
8.5%

Most frequent character per script

Common
ValueCountFrequency (%)
972
90.2%
0 18
 
1.7%
8 15
 
1.4%
. 14
 
1.3%
1 14
 
1.3%
6 9
 
0.8%
7 8
 
0.7%
2 8
 
0.7%
3 6
 
0.6%
9 6
 
0.6%
Other values (2) 8
 
0.7%
Latin
ValueCountFrequency (%)
a 1944
16.7%
l 1944
16.7%
N 972
8.3%
o 972
8.3%
t 972
8.3%
A 972
8.3%
v 972
8.3%
i 972
8.3%
b 972
8.3%
e 972
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12742
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1944
15.3%
l 1944
15.3%
N 972
7.6%
o 972
7.6%
t 972
7.6%
972
7.6%
A 972
7.6%
v 972
7.6%
i 972
7.6%
b 972
7.6%
Other values (12) 1078
8.5%
Distinct432
Distinct (%)43.2%
Missing0
Missing (%)0.0%
Memory size60.6 KiB
2023-12-09T21:02:20.728366image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length6
Mean length4.94
Min length1

Characters and Unicode

Total characters4940
Distinct characters22
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique285 ?
Unique (%)28.5%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 126
 
11.2%
available 126
 
11.2%
120 17
 
1.5%
228 13
 
1.2%
256 12
 
1.1%
204 12
 
1.1%
160 11
 
1.0%
240 10
 
0.9%
212 9
 
0.8%
180 9
 
0.8%
Other values (423) 781
69.4%
2023-12-09T21:02:21.345824image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 559
 
11.3%
1 494
 
10.0%
. 377
 
7.6%
4 341
 
6.9%
6 323
 
6.5%
8 280
 
5.7%
0 265
 
5.4%
a 252
 
5.1%
l 252
 
5.1%
3 227
 
4.6%
Other values (12) 1570
31.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2925
59.2%
Lowercase Letter 1260
25.5%
Other Punctuation 377
 
7.6%
Uppercase Letter 252
 
5.1%
Space Separator 126
 
2.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 559
19.1%
1 494
16.9%
4 341
11.7%
6 323
11.0%
8 280
9.6%
0 265
9.1%
3 227
7.8%
5 162
 
5.5%
7 138
 
4.7%
9 136
 
4.6%
Lowercase Letter
ValueCountFrequency (%)
a 252
20.0%
l 252
20.0%
t 126
10.0%
o 126
10.0%
e 126
10.0%
b 126
10.0%
i 126
10.0%
v 126
10.0%
Uppercase Letter
ValueCountFrequency (%)
A 126
50.0%
N 126
50.0%
Other Punctuation
ValueCountFrequency (%)
. 377
100.0%
Space Separator
ValueCountFrequency (%)
126
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3428
69.4%
Latin 1512
30.6%

Most frequent character per script

Common
ValueCountFrequency (%)
2 559
16.3%
1 494
14.4%
. 377
11.0%
4 341
9.9%
6 323
9.4%
8 280
8.2%
0 265
7.7%
3 227
6.6%
5 162
 
4.7%
7 138
 
4.0%
Other values (2) 262
7.6%
Latin
ValueCountFrequency (%)
a 252
16.7%
l 252
16.7%
t 126
8.3%
A 126
8.3%
o 126
8.3%
e 126
8.3%
b 126
8.3%
i 126
8.3%
v 126
8.3%
N 126
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4940
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 559
 
11.3%
1 494
 
10.0%
. 377
 
7.6%
4 341
 
6.9%
6 323
 
6.5%
8 280
 
5.7%
0 265
 
5.4%
a 252
 
5.1%
l 252
 
5.1%
3 227
 
4.6%
Other values (12) 1570
31.8%
Distinct13
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size63.4 KiB
2023-12-09T21:02:21.542613image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length7
Mean length7.756
Min length7

Characters and Unicode

Total characters7756
Distinct characters22
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)0.1%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
09/2020 292
25.9%
01/2020 142
12.6%
not 126
11.2%
available 126
11.2%
03/2020 89
 
7.9%
07/2020 74
 
6.6%
06/2020 59
 
5.2%
08/2020 58
 
5.2%
02/2020 53
 
4.7%
10/2020 48
 
4.3%
Other values (4) 59
 
5.2%
2023-12-09T21:02:21.878587image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 2583
33.3%
2 1819
23.5%
/ 874
 
11.3%
9 292
 
3.8%
l 252
 
3.2%
a 252
 
3.2%
1 250
 
3.2%
o 126
 
1.6%
t 126
 
1.6%
126
 
1.6%
Other values (12) 1056
13.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 5244
67.6%
Lowercase Letter 1260
 
16.2%
Other Punctuation 874
 
11.3%
Uppercase Letter 252
 
3.2%
Space Separator 126
 
1.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 2583
49.3%
2 1819
34.7%
9 292
 
5.6%
1 250
 
4.8%
3 89
 
1.7%
7 74
 
1.4%
6 59
 
1.1%
8 58
 
1.1%
5 19
 
0.4%
4 1
 
< 0.1%
Lowercase Letter
ValueCountFrequency (%)
l 252
20.0%
a 252
20.0%
o 126
10.0%
t 126
10.0%
v 126
10.0%
i 126
10.0%
b 126
10.0%
e 126
10.0%
Uppercase Letter
ValueCountFrequency (%)
A 126
50.0%
N 126
50.0%
Other Punctuation
ValueCountFrequency (%)
/ 874
100.0%
Space Separator
ValueCountFrequency (%)
126
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 6244
80.5%
Latin 1512
 
19.5%

Most frequent character per script

Common
ValueCountFrequency (%)
0 2583
41.4%
2 1819
29.1%
/ 874
 
14.0%
9 292
 
4.7%
1 250
 
4.0%
126
 
2.0%
3 89
 
1.4%
7 74
 
1.2%
6 59
 
0.9%
8 58
 
0.9%
Other values (2) 20
 
0.3%
Latin
ValueCountFrequency (%)
l 252
16.7%
a 252
16.7%
o 126
8.3%
t 126
8.3%
A 126
8.3%
v 126
8.3%
N 126
8.3%
i 126
8.3%
b 126
8.3%
e 126
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 7756
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 2583
33.3%
2 1819
23.5%
/ 874
 
11.3%
9 292
 
3.8%
l 252
 
3.2%
a 252
 
3.2%
1 250
 
3.2%
o 126
 
1.6%
t 126
 
1.6%
126
 
1.6%
Other values (12) 1056
13.6%
Distinct875
Distinct (%)87.5%
Missing0
Missing (%)0.0%
Memory size72.8 KiB
2023-12-09T21:02:22.239463image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length54
Median length18
Mean length17.412
Min length13

Characters and Unicode

Total characters17412
Distinct characters36
Distinct categories8 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique874 ?
Unique (%)87.4%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 126
 
6.3%
available 126
 
6.3%
8011404 1
 
< 0.1%
0100036e 1
 
< 0.1%
7877749 1
 
< 0.1%
0300086e 1
 
< 0.1%
7896896 1
 
< 0.1%
0300179e 1
 
< 0.1%
8316640 1
 
< 0.1%
0101303e 1
 
< 0.1%
Other values (1746) 1746
87.0%
2023-12-09T21:02:22.726340image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 3575
20.5%
3 1225
 
7.0%
7 1204
 
6.9%
1 1196
 
6.9%
8 1122
 
6.4%
1006
 
5.8%
2 878
 
5.0%
E 875
 
5.0%
) 874
 
5.0%
( 874
 
5.0%
Other values (26) 4583
26.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 12235
70.3%
Lowercase Letter 1291
 
7.4%
Uppercase Letter 1130
 
6.5%
Space Separator 1006
 
5.8%
Close Punctuation 874
 
5.0%
Open Punctuation 874
 
5.0%
Dash Punctuation 1
 
< 0.1%
Other Punctuation 1
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
l 255
19.8%
a 253
19.6%
t 130
10.1%
e 130
10.1%
i 129
10.0%
o 129
10.0%
b 126
9.8%
v 126
9.8%
c 4
 
0.3%
r 3
 
0.2%
Other values (5) 6
 
0.5%
Decimal Number
ValueCountFrequency (%)
0 3575
29.2%
3 1225
 
10.0%
7 1204
 
9.8%
1 1196
 
9.8%
8 1122
 
9.2%
2 878
 
7.2%
9 871
 
7.1%
4 869
 
7.1%
5 692
 
5.7%
6 603
 
4.9%
Uppercase Letter
ValueCountFrequency (%)
E 875
77.4%
N 126
 
11.2%
A 126
 
11.2%
S 1
 
0.1%
C 1
 
0.1%
M 1
 
0.1%
Space Separator
ValueCountFrequency (%)
1006
100.0%
Close Punctuation
ValueCountFrequency (%)
) 874
100.0%
Open Punctuation
ValueCountFrequency (%)
( 874
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%
Other Punctuation
ValueCountFrequency (%)
# 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 14991
86.1%
Latin 2421
 
13.9%

Most frequent character per script

Latin
ValueCountFrequency (%)
E 875
36.1%
l 255
 
10.5%
a 253
 
10.5%
t 130
 
5.4%
e 130
 
5.4%
i 129
 
5.3%
o 129
 
5.3%
N 126
 
5.2%
b 126
 
5.2%
v 126
 
5.2%
Other values (11) 142
 
5.9%
Common
ValueCountFrequency (%)
0 3575
23.8%
3 1225
 
8.2%
7 1204
 
8.0%
1 1196
 
8.0%
8 1122
 
7.5%
1006
 
6.7%
2 878
 
5.9%
) 874
 
5.8%
( 874
 
5.8%
9 871
 
5.8%
Other values (5) 2166
14.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 17412
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 3575
20.5%
3 1225
 
7.0%
7 1204
 
6.9%
1 1196
 
6.9%
8 1122
 
6.4%
1006
 
5.8%
2 878
 
5.0%
E 875
 
5.0%
) 874
 
5.0%
( 874
 
5.0%
Other values (26) 4583
26.3%
Distinct29
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Memory size68.3 KiB
2023-12-09T21:02:22.981548image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.833
Min length1

Characters and Unicode

Total characters12833
Distinct characters22
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique28 ?
Unique (%)2.8%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 972
49.3%
available 972
49.3%
284183.6 1
 
0.1%
91778.2 1
 
0.1%
213591 1
 
0.1%
147180 1
 
0.1%
120470.7 1
 
0.1%
906 1
 
0.1%
220576.1 1
 
0.1%
213260.5 1
 
0.1%
Other values (20) 20
 
1.0%
2023-12-09T21:02:23.355871image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
l 1944
15.1%
a 1944
15.1%
o 972
7.6%
e 972
7.6%
b 972
7.6%
i 972
7.6%
N 972
7.6%
v 972
7.6%
A 972
7.6%
972
7.6%
Other values (12) 1169
9.1%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9720
75.7%
Uppercase Letter 1944
 
15.1%
Space Separator 972
 
7.6%
Decimal Number 175
 
1.4%
Other Punctuation 22
 
0.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 25
14.3%
2 21
12.0%
7 21
12.0%
6 18
10.3%
8 17
9.7%
5 16
9.1%
0 16
9.1%
4 15
8.6%
3 14
8.0%
9 12
6.9%
Lowercase Letter
ValueCountFrequency (%)
l 1944
20.0%
a 1944
20.0%
o 972
10.0%
e 972
10.0%
b 972
10.0%
i 972
10.0%
v 972
10.0%
t 972
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 972
50.0%
A 972
50.0%
Space Separator
ValueCountFrequency (%)
972
100.0%
Other Punctuation
ValueCountFrequency (%)
. 22
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11664
90.9%
Common 1169
 
9.1%

Most frequent character per script

Common
ValueCountFrequency (%)
972
83.1%
1 25
 
2.1%
. 22
 
1.9%
2 21
 
1.8%
7 21
 
1.8%
6 18
 
1.5%
8 17
 
1.5%
5 16
 
1.4%
0 16
 
1.4%
4 15
 
1.3%
Other values (2) 26
 
2.2%
Latin
ValueCountFrequency (%)
l 1944
16.7%
a 1944
16.7%
o 972
8.3%
e 972
8.3%
b 972
8.3%
i 972
8.3%
N 972
8.3%
v 972
8.3%
A 972
8.3%
t 972
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12833
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
l 1944
15.1%
a 1944
15.1%
o 972
7.6%
e 972
7.6%
b 972
7.6%
i 972
7.6%
N 972
7.6%
v 972
7.6%
A 972
7.6%
972
7.6%
Other values (12) 1169
9.1%
Distinct4
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size56.8 KiB
2023-12-09T21:02:23.497841image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length1
Mean length1.025
Min length1

Characters and Unicode

Total characters1025
Distinct characters19
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique3 ?
Unique (%)0.3%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0
ValueCountFrequency (%)
0 997
99.6%
15075120 1
 
0.1%
3399340 1
 
0.1%
not 1
 
0.1%
available 1
 
0.1%
2023-12-09T21:02:23.747854image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 1000
97.6%
3 3
 
0.3%
5 2
 
0.2%
l 2
 
0.2%
9 2
 
0.2%
a 2
 
0.2%
1 2
 
0.2%
A 1
 
0.1%
b 1
 
0.1%
i 1
 
0.1%
Other values (9) 9
 
0.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1012
98.7%
Lowercase Letter 10
 
1.0%
Uppercase Letter 2
 
0.2%
Space Separator 1
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1000
98.8%
3 3
 
0.3%
5 2
 
0.2%
9 2
 
0.2%
1 2
 
0.2%
4 1
 
0.1%
2 1
 
0.1%
7 1
 
0.1%
Lowercase Letter
ValueCountFrequency (%)
l 2
20.0%
a 2
20.0%
b 1
10.0%
i 1
10.0%
v 1
10.0%
o 1
10.0%
t 1
10.0%
e 1
10.0%
Uppercase Letter
ValueCountFrequency (%)
A 1
50.0%
N 1
50.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1013
98.8%
Latin 12
 
1.2%

Most frequent character per script

Latin
ValueCountFrequency (%)
l 2
16.7%
a 2
16.7%
A 1
8.3%
b 1
8.3%
i 1
8.3%
v 1
8.3%
o 1
8.3%
t 1
8.3%
N 1
8.3%
e 1
8.3%
Common
ValueCountFrequency (%)
0 1000
98.7%
3 3
 
0.3%
5 2
 
0.2%
9 2
 
0.2%
1 2
 
0.2%
1
 
0.1%
4 1
 
0.1%
2 1
 
0.1%
7 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1025
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 1000
97.6%
3 3
 
0.3%
5 2
 
0.2%
l 2
 
0.2%
9 2
 
0.2%
a 2
 
0.2%
1 2
 
0.2%
A 1
 
0.1%
b 1
 
0.1%
i 1
 
0.1%
Other values (9) 9
 
0.9%
Distinct31
Distinct (%)3.1%
Missing0
Missing (%)0.0%
Memory size57.0 KiB
2023-12-09T21:02:23.952508image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length1
Mean length1.194
Min length1

Characters and Unicode

Total characters1194
Distinct characters22
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique30 ?
Unique (%)3.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0
ValueCountFrequency (%)
0 970
96.9%
55629 1
 
0.1%
284183.6 1
 
0.1%
91778.2 1
 
0.1%
213591 1
 
0.1%
15075120 1
 
0.1%
147180 1
 
0.1%
120470.7 1
 
0.1%
906 1
 
0.1%
220576.1 1
 
0.1%
Other values (22) 22
 
2.2%
2023-12-09T21:02:24.293884image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 988
82.7%
1 27
 
2.3%
2 22
 
1.8%
7 22
 
1.8%
. 22
 
1.8%
5 18
 
1.5%
6 18
 
1.5%
3 17
 
1.4%
8 17
 
1.4%
4 16
 
1.3%
Other values (12) 27
 
2.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1159
97.1%
Other Punctuation 22
 
1.8%
Lowercase Letter 10
 
0.8%
Uppercase Letter 2
 
0.2%
Space Separator 1
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 988
85.2%
1 27
 
2.3%
2 22
 
1.9%
7 22
 
1.9%
5 18
 
1.6%
6 18
 
1.6%
3 17
 
1.5%
8 17
 
1.5%
4 16
 
1.4%
9 14
 
1.2%
Lowercase Letter
ValueCountFrequency (%)
a 2
20.0%
l 2
20.0%
o 1
10.0%
v 1
10.0%
i 1
10.0%
b 1
10.0%
e 1
10.0%
t 1
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 1
50.0%
A 1
50.0%
Other Punctuation
ValueCountFrequency (%)
. 22
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1182
99.0%
Latin 12
 
1.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 988
83.6%
1 27
 
2.3%
2 22
 
1.9%
7 22
 
1.9%
. 22
 
1.9%
5 18
 
1.5%
6 18
 
1.5%
3 17
 
1.4%
8 17
 
1.4%
4 16
 
1.4%
Other values (2) 15
 
1.3%
Latin
ValueCountFrequency (%)
a 2
16.7%
l 2
16.7%
o 1
8.3%
N 1
8.3%
A 1
8.3%
v 1
8.3%
i 1
8.3%
b 1
8.3%
e 1
8.3%
t 1
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1194
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 988
82.7%
1 27
 
2.3%
2 22
 
1.8%
7 22
 
1.8%
. 22
 
1.8%
5 18
 
1.5%
6 18
 
1.5%
3 17
 
1.4%
8 17
 
1.4%
4 16
 
1.3%
Other values (12) 27
 
2.3%
Distinct947
Distinct (%)94.7%
Missing0
Missing (%)0.0%
Memory size60.6 KiB
2023-12-09T21:02:24.826452image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length5
Mean length4.961
Min length2

Characters and Unicode

Total characters4961
Distinct characters22
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique897 ?
Unique (%)89.7%

Sample

1st row2190.6
2nd row6184.2
3rd row2407.5
4th row2003.9
5th row8976.8
ValueCountFrequency (%)
490.7 3
 
0.3%
not 3
 
0.3%
available 3
 
0.3%
343.1 3
 
0.3%
420.4 2
 
0.2%
375.6 2
 
0.2%
515.3 2
 
0.2%
312.5 2
 
0.2%
319.2 2
 
0.2%
218.5 2
 
0.2%
Other values (938) 979
97.6%
2023-12-09T21:02:25.429642image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 896
18.1%
3 519
10.5%
4 477
9.6%
1 471
9.5%
5 459
9.3%
2 441
8.9%
6 408
8.2%
7 337
 
6.8%
8 330
 
6.7%
9 329
 
6.6%
Other values (12) 294
 
5.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 4026
81.2%
Other Punctuation 896
 
18.1%
Lowercase Letter 30
 
0.6%
Uppercase Letter 6
 
0.1%
Space Separator 3
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 519
12.9%
4 477
11.8%
1 471
11.7%
5 459
11.4%
2 441
11.0%
6 408
10.1%
7 337
8.4%
8 330
8.2%
9 329
8.2%
0 255
6.3%
Lowercase Letter
ValueCountFrequency (%)
a 6
20.0%
l 6
20.0%
o 3
10.0%
t 3
10.0%
v 3
10.0%
i 3
10.0%
b 3
10.0%
e 3
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 3
50.0%
A 3
50.0%
Other Punctuation
ValueCountFrequency (%)
. 896
100.0%
Space Separator
ValueCountFrequency (%)
3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 4925
99.3%
Latin 36
 
0.7%

Most frequent character per script

Common
ValueCountFrequency (%)
. 896
18.2%
3 519
10.5%
4 477
9.7%
1 471
9.6%
5 459
9.3%
2 441
9.0%
6 408
8.3%
7 337
 
6.8%
8 330
 
6.7%
9 329
 
6.7%
Other values (2) 258
 
5.2%
Latin
ValueCountFrequency (%)
a 6
16.7%
l 6
16.7%
N 3
8.3%
o 3
8.3%
t 3
8.3%
v 3
8.3%
i 3
8.3%
b 3
8.3%
e 3
8.3%
A 3
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4961
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 896
18.1%
3 519
10.5%
4 477
9.6%
1 471
9.5%
5 459
9.3%
2 441
8.9%
6 408
8.2%
7 337
 
6.8%
8 330
 
6.7%
9 329
 
6.6%
Other values (12) 294
 
5.9%
Distinct861
Distinct (%)86.1%
Missing0
Missing (%)0.0%
Memory size60.1 KiB
2023-12-09T21:02:25.908028image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length5
Mean length4.422
Min length1

Characters and Unicode

Total characters4422
Distinct characters22
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique792 ?
Unique (%)79.2%

Sample

1st row0
2nd row0
3rd row47.4
4th row42.7
5th row1808
ValueCountFrequency (%)
0 67
 
6.7%
1.5 3
 
0.3%
212.7 3
 
0.3%
1.3 3
 
0.3%
147.3 3
 
0.3%
377.8 3
 
0.3%
131 2
 
0.2%
117.2 2
 
0.2%
463.3 2
 
0.2%
121.1 2
 
0.2%
Other values (852) 911
91.0%
2023-12-09T21:02:26.519320image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 847
19.2%
2 500
11.3%
3 489
11.1%
1 486
11.0%
4 375
8.5%
5 299
 
6.8%
8 296
 
6.7%
0 285
 
6.4%
7 280
 
6.3%
6 278
 
6.3%
Other values (12) 287
 
6.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 3562
80.6%
Other Punctuation 847
 
19.2%
Lowercase Letter 10
 
0.2%
Uppercase Letter 2
 
< 0.1%
Space Separator 1
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 500
14.0%
3 489
13.7%
1 486
13.6%
4 375
10.5%
5 299
8.4%
8 296
8.3%
0 285
8.0%
7 280
7.9%
6 278
7.8%
9 274
7.7%
Lowercase Letter
ValueCountFrequency (%)
l 2
20.0%
a 2
20.0%
v 1
10.0%
b 1
10.0%
i 1
10.0%
t 1
10.0%
o 1
10.0%
e 1
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 1
50.0%
A 1
50.0%
Other Punctuation
ValueCountFrequency (%)
. 847
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 4410
99.7%
Latin 12
 
0.3%

Most frequent character per script

Common
ValueCountFrequency (%)
. 847
19.2%
2 500
11.3%
3 489
11.1%
1 486
11.0%
4 375
8.5%
5 299
 
6.8%
8 296
 
6.7%
0 285
 
6.5%
7 280
 
6.3%
6 278
 
6.3%
Other values (2) 275
 
6.2%
Latin
ValueCountFrequency (%)
l 2
16.7%
a 2
16.7%
v 1
8.3%
b 1
8.3%
i 1
8.3%
N 1
8.3%
A 1
8.3%
t 1
8.3%
o 1
8.3%
e 1
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4422
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 847
19.2%
2 500
11.3%
3 489
11.1%
1 486
11.0%
4 375
8.5%
5 299
 
6.8%
8 296
 
6.7%
0 285
 
6.4%
7 280
 
6.3%
6 278
 
6.3%
Other values (12) 287
 
6.5%
Distinct87
Distinct (%)8.7%
Missing0
Missing (%)0.0%
Memory size58.6 KiB
2023-12-09T21:02:26.862632image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length3
Mean length2.882
Min length1

Characters and Unicode

Total characters2882
Distinct characters22
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique22 ?
Unique (%)2.2%

Sample

1st row3.2
2nd row16.1
3rd row4.2
4th row5.1
5th row5.6
ValueCountFrequency (%)
3.8 49
 
4.9%
3.3 45
 
4.5%
3.6 41
 
4.1%
3.5 41
 
4.1%
3.9 40
 
4.0%
3.2 37
 
3.7%
3.1 36
 
3.6%
4.3 35
 
3.5%
3.4 34
 
3.4%
4.1 34
 
3.4%
Other values (78) 611
60.9%
2023-12-09T21:02:27.329207image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 916
31.8%
3 501
17.4%
4 365
 
12.7%
2 256
 
8.9%
5 197
 
6.8%
1 138
 
4.8%
6 133
 
4.6%
7 126
 
4.4%
8 113
 
3.9%
9 92
 
3.2%
Other values (12) 45
 
1.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1927
66.9%
Other Punctuation 916
31.8%
Lowercase Letter 30
 
1.0%
Uppercase Letter 6
 
0.2%
Space Separator 3
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 501
26.0%
4 365
18.9%
2 256
13.3%
5 197
 
10.2%
1 138
 
7.2%
6 133
 
6.9%
7 126
 
6.5%
8 113
 
5.9%
9 92
 
4.8%
0 6
 
0.3%
Lowercase Letter
ValueCountFrequency (%)
a 6
20.0%
l 6
20.0%
v 3
10.0%
t 3
10.0%
i 3
10.0%
b 3
10.0%
e 3
10.0%
o 3
10.0%
Uppercase Letter
ValueCountFrequency (%)
A 3
50.0%
N 3
50.0%
Other Punctuation
ValueCountFrequency (%)
. 916
100.0%
Space Separator
ValueCountFrequency (%)
3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2846
98.8%
Latin 36
 
1.2%

Most frequent character per script

Common
ValueCountFrequency (%)
. 916
32.2%
3 501
17.6%
4 365
 
12.8%
2 256
 
9.0%
5 197
 
6.9%
1 138
 
4.8%
6 133
 
4.7%
7 126
 
4.4%
8 113
 
4.0%
9 92
 
3.2%
Other values (2) 9
 
0.3%
Latin
ValueCountFrequency (%)
a 6
16.7%
l 6
16.7%
A 3
8.3%
v 3
8.3%
t 3
8.3%
i 3
8.3%
N 3
8.3%
b 3
8.3%
e 3
8.3%
o 3
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2882
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 916
31.8%
3 501
17.4%
4 365
 
12.7%
2 256
 
8.9%
5 197
 
6.8%
1 138
 
4.8%
6 133
 
4.6%
7 126
 
4.4%
8 113
 
3.9%
9 92
 
3.2%
Other values (12) 45
 
1.6%
Distinct68
Distinct (%)6.8%
Missing0
Missing (%)0.0%
Memory size58.3 KiB
2023-12-09T21:02:27.602849image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length3
Mean length2.599
Min length1

Characters and Unicode

Total characters2599
Distinct characters22
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique15 ?
Unique (%)1.5%

Sample

1st row0
2nd row0
3rd row0.1
4th row0.1
5th row1.1
ValueCountFrequency (%)
0 116
 
11.6%
2.1 41
 
4.1%
2.8 38
 
3.8%
2.3 38
 
3.8%
2.5 37
 
3.7%
2.7 37
 
3.7%
2.2 37
 
3.7%
2.9 36
 
3.6%
2.6 35
 
3.5%
1.6 34
 
3.4%
Other values (59) 552
55.1%
2023-12-09T21:02:28.035965image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 792
30.5%
2 446
17.2%
1 334
12.9%
3 264
 
10.2%
0 169
 
6.5%
4 126
 
4.8%
5 102
 
3.9%
6 100
 
3.8%
9 91
 
3.5%
7 82
 
3.2%
Other values (12) 93
 
3.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1794
69.0%
Other Punctuation 792
30.5%
Lowercase Letter 10
 
0.4%
Uppercase Letter 2
 
0.1%
Space Separator 1
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 446
24.9%
1 334
18.6%
3 264
14.7%
0 169
 
9.4%
4 126
 
7.0%
5 102
 
5.7%
6 100
 
5.6%
9 91
 
5.1%
7 82
 
4.6%
8 80
 
4.5%
Lowercase Letter
ValueCountFrequency (%)
l 2
20.0%
a 2
20.0%
v 1
10.0%
b 1
10.0%
i 1
10.0%
t 1
10.0%
o 1
10.0%
e 1
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 1
50.0%
A 1
50.0%
Other Punctuation
ValueCountFrequency (%)
. 792
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2587
99.5%
Latin 12
 
0.5%

Most frequent character per script

Common
ValueCountFrequency (%)
. 792
30.6%
2 446
17.2%
1 334
12.9%
3 264
 
10.2%
0 169
 
6.5%
4 126
 
4.9%
5 102
 
3.9%
6 100
 
3.9%
9 91
 
3.5%
7 82
 
3.2%
Other values (2) 81
 
3.1%
Latin
ValueCountFrequency (%)
l 2
16.7%
a 2
16.7%
v 1
8.3%
b 1
8.3%
i 1
8.3%
N 1
8.3%
A 1
8.3%
t 1
8.3%
o 1
8.3%
e 1
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2599
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 792
30.5%
2 446
17.2%
1 334
12.9%
3 264
 
10.2%
0 169
 
6.5%
4 126
 
4.8%
5 102
 
3.9%
6 100
 
3.8%
9 91
 
3.5%
7 82
 
3.2%
Other values (12) 93
 
3.6%
Distinct872
Distinct (%)87.2%
Missing0
Missing (%)0.0%
Memory size60.3 KiB
2023-12-09T21:02:28.552343image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length5
Mean length4.67
Min length1

Characters and Unicode

Total characters4670
Distinct characters23
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique768 ?
Unique (%)76.8%

Sample

1st row2190.6
2nd row6184.2
3rd row2360.1
4th row1961.2
5th row7168.8
ValueCountFrequency (%)
0 5
 
0.5%
105.2 4
 
0.4%
117.6 4
 
0.4%
62.4 3
 
0.3%
116.1 3
 
0.3%
100.2 3
 
0.3%
133.4 3
 
0.3%
127.4 3
 
0.3%
102.3 3
 
0.3%
71.1 3
 
0.3%
Other values (863) 969
96.6%
2023-12-09T21:02:29.215730image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 901
19.3%
1 725
15.5%
2 462
9.9%
3 369
7.9%
4 350
 
7.5%
5 333
 
7.1%
6 329
 
7.0%
7 320
 
6.9%
9 305
 
6.5%
8 302
 
6.5%
Other values (13) 274
 
5.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 3728
79.8%
Other Punctuation 901
 
19.3%
Lowercase Letter 30
 
0.6%
Uppercase Letter 6
 
0.1%
Space Separator 3
 
0.1%
Dash Punctuation 2
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 725
19.4%
2 462
12.4%
3 369
9.9%
4 350
9.4%
5 333
8.9%
6 329
8.8%
7 320
8.6%
9 305
8.2%
8 302
8.1%
0 233
 
6.2%
Lowercase Letter
ValueCountFrequency (%)
a 6
20.0%
l 6
20.0%
e 3
10.0%
b 3
10.0%
i 3
10.0%
v 3
10.0%
t 3
10.0%
o 3
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 3
50.0%
A 3
50.0%
Other Punctuation
ValueCountFrequency (%)
. 901
100.0%
Space Separator
ValueCountFrequency (%)
3
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 4634
99.2%
Latin 36
 
0.8%

Most frequent character per script

Common
ValueCountFrequency (%)
. 901
19.4%
1 725
15.6%
2 462
10.0%
3 369
8.0%
4 350
 
7.6%
5 333
 
7.2%
6 329
 
7.1%
7 320
 
6.9%
9 305
 
6.6%
8 302
 
6.5%
Other values (3) 238
 
5.1%
Latin
ValueCountFrequency (%)
a 6
16.7%
l 6
16.7%
e 3
8.3%
b 3
8.3%
i 3
8.3%
N 3
8.3%
v 3
8.3%
A 3
8.3%
t 3
8.3%
o 3
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4670
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 901
19.3%
1 725
15.5%
2 462
9.9%
3 369
7.9%
4 350
 
7.5%
5 333
 
7.1%
6 329
 
7.0%
7 320
 
6.9%
9 305
 
6.5%
8 302
 
6.5%
Other values (13) 274
 
5.9%
Distinct948
Distinct (%)94.8%
Missing0
Missing (%)0.0%
Memory size60.6 KiB
2023-12-09T21:02:29.686638image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length5
Mean length4.936
Min length1

Characters and Unicode

Total characters4936
Distinct characters22
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique898 ?
Unique (%)89.8%

Sample

1st row2190.6
2nd row6184.2
3rd row2407.5
4th row2003.9
5th row8976.8
ValueCountFrequency (%)
490.7 3
 
0.3%
343.1 3
 
0.3%
0 2
 
0.2%
341.4 2
 
0.2%
1037 2
 
0.2%
282 2
 
0.2%
452.3 2
 
0.2%
598.7 2
 
0.2%
461.2 2
 
0.2%
591.6 2
 
0.2%
Other values (939) 979
97.8%
2023-12-09T21:02:30.287596image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 896
18.2%
3 519
10.5%
4 476
9.6%
1 471
9.5%
5 459
9.3%
2 440
8.9%
6 408
8.3%
7 337
 
6.8%
8 330
 
6.7%
9 329
 
6.7%
Other values (12) 271
 
5.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 4027
81.6%
Other Punctuation 896
 
18.2%
Lowercase Letter 10
 
0.2%
Uppercase Letter 2
 
< 0.1%
Space Separator 1
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 519
12.9%
4 476
11.8%
1 471
11.7%
5 459
11.4%
2 440
10.9%
6 408
10.1%
7 337
8.4%
8 330
8.2%
9 329
8.2%
0 258
6.4%
Lowercase Letter
ValueCountFrequency (%)
l 2
20.0%
a 2
20.0%
v 1
10.0%
b 1
10.0%
i 1
10.0%
t 1
10.0%
o 1
10.0%
e 1
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 1
50.0%
A 1
50.0%
Other Punctuation
ValueCountFrequency (%)
. 896
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 4924
99.8%
Latin 12
 
0.2%

Most frequent character per script

Common
ValueCountFrequency (%)
. 896
18.2%
3 519
10.5%
4 476
9.7%
1 471
9.6%
5 459
9.3%
2 440
8.9%
6 408
8.3%
7 337
 
6.8%
8 330
 
6.7%
9 329
 
6.7%
Other values (2) 259
 
5.3%
Latin
ValueCountFrequency (%)
l 2
16.7%
a 2
16.7%
v 1
8.3%
b 1
8.3%
i 1
8.3%
N 1
8.3%
A 1
8.3%
t 1
8.3%
o 1
8.3%
e 1
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4936
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 896
18.2%
3 519
10.5%
4 476
9.6%
1 471
9.5%
5 459
9.3%
2 440
8.9%
6 408
8.3%
7 337
 
6.8%
8 330
 
6.7%
9 329
 
6.7%
Other values (12) 271
 
5.5%
Distinct86
Distinct (%)8.6%
Missing0
Missing (%)0.0%
Memory size58.5 KiB
2023-12-09T21:02:30.596999image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length3
Mean length2.725
Min length1

Characters and Unicode

Total characters2725
Distinct characters23
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique26 ?
Unique (%)2.6%

Sample

1st row3.2
2nd row16.1
3rd row4.1
4th row5
5th row4.5
ValueCountFrequency (%)
1 111
 
11.1%
0.9 97
 
9.7%
1.1 88
 
8.8%
0.8 83
 
8.3%
1.2 63
 
6.3%
1.4 52
 
5.2%
1.3 52
 
5.2%
0.7 44
 
4.4%
1.5 30
 
3.0%
2.1 21
 
2.1%
Other values (76) 362
36.1%
2023-12-09T21:02:31.027349image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 839
30.8%
1 599
22.0%
0 259
 
9.5%
2 214
 
7.9%
3 145
 
5.3%
4 140
 
5.1%
9 134
 
4.9%
8 119
 
4.4%
5 91
 
3.3%
7 80
 
2.9%
Other values (13) 105
 
3.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1845
67.7%
Other Punctuation 839
30.8%
Lowercase Letter 30
 
1.1%
Uppercase Letter 6
 
0.2%
Space Separator 3
 
0.1%
Dash Punctuation 2
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 599
32.5%
0 259
14.0%
2 214
 
11.6%
3 145
 
7.9%
4 140
 
7.6%
9 134
 
7.3%
8 119
 
6.4%
5 91
 
4.9%
7 80
 
4.3%
6 64
 
3.5%
Lowercase Letter
ValueCountFrequency (%)
a 6
20.0%
l 6
20.0%
e 3
10.0%
b 3
10.0%
i 3
10.0%
v 3
10.0%
t 3
10.0%
o 3
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 3
50.0%
A 3
50.0%
Other Punctuation
ValueCountFrequency (%)
. 839
100.0%
Space Separator
ValueCountFrequency (%)
3
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2689
98.7%
Latin 36
 
1.3%

Most frequent character per script

Common
ValueCountFrequency (%)
. 839
31.2%
1 599
22.3%
0 259
 
9.6%
2 214
 
8.0%
3 145
 
5.4%
4 140
 
5.2%
9 134
 
5.0%
8 119
 
4.4%
5 91
 
3.4%
7 80
 
3.0%
Other values (3) 69
 
2.6%
Latin
ValueCountFrequency (%)
a 6
16.7%
l 6
16.7%
e 3
8.3%
b 3
8.3%
i 3
8.3%
N 3
8.3%
v 3
8.3%
A 3
8.3%
t 3
8.3%
o 3
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2725
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 839
30.8%
1 599
22.0%
0 259
 
9.5%
2 214
 
7.9%
3 145
 
5.3%
4 140
 
5.1%
9 134
 
4.9%
8 119
 
4.4%
5 91
 
3.3%
7 80
 
2.9%
Other values (13) 105
 
3.9%
Distinct971
Distinct (%)97.1%
Missing0
Missing (%)0.0%
Memory size60.8 KiB
2023-12-09T21:02:31.475125image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length5
Mean length5.121
Min length3

Characters and Unicode

Total characters5121
Distinct characters22
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique944 ?
Unique (%)94.4%

Sample

1st row3754.9
2nd row3520.1
3rd row3439.3
4th row2793.7
5th row9392.1
ValueCountFrequency (%)
462 3
 
0.3%
328.3 3
 
0.3%
3520.1 2
 
0.2%
630.6 2
 
0.2%
841.1 2
 
0.2%
available 2
 
0.2%
not 2
 
0.2%
798.3 2
 
0.2%
513.8 2
 
0.2%
483.8 2
 
0.2%
Other values (962) 980
97.8%
2023-12-09T21:02:32.052161image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 920
18.0%
1 506
9.9%
5 497
9.7%
4 471
9.2%
3 453
8.8%
6 422
8.2%
2 408
8.0%
7 404
7.9%
8 390
7.6%
9 353
 
6.9%
Other values (12) 297
 
5.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 4175
81.5%
Other Punctuation 920
 
18.0%
Lowercase Letter 20
 
0.4%
Uppercase Letter 4
 
0.1%
Space Separator 2
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 506
12.1%
5 497
11.9%
4 471
11.3%
3 453
10.9%
6 422
10.1%
2 408
9.8%
7 404
9.7%
8 390
9.3%
9 353
8.5%
0 271
6.5%
Lowercase Letter
ValueCountFrequency (%)
l 4
20.0%
a 4
20.0%
v 2
10.0%
b 2
10.0%
i 2
10.0%
t 2
10.0%
o 2
10.0%
e 2
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 2
50.0%
A 2
50.0%
Other Punctuation
ValueCountFrequency (%)
. 920
100.0%
Space Separator
ValueCountFrequency (%)
2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 5097
99.5%
Latin 24
 
0.5%

Most frequent character per script

Common
ValueCountFrequency (%)
. 920
18.0%
1 506
9.9%
5 497
9.8%
4 471
9.2%
3 453
8.9%
6 422
8.3%
2 408
8.0%
7 404
7.9%
8 390
7.7%
9 353
 
6.9%
Other values (2) 273
 
5.4%
Latin
ValueCountFrequency (%)
l 4
16.7%
a 4
16.7%
v 2
8.3%
b 2
8.3%
i 2
8.3%
N 2
8.3%
A 2
8.3%
t 2
8.3%
o 2
8.3%
e 2
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 5121
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 920
18.0%
1 506
9.9%
5 497
9.7%
4 471
9.2%
3 453
8.8%
6 422
8.2%
2 408
8.0%
7 404
7.9%
8 390
7.6%
9 353
 
6.9%
Other values (12) 297
 
5.8%
Distinct3
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size59.7 KiB
2023-12-09T21:02:32.201801image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length5
Median length4
Mean length4.006
Min length4

Characters and Unicode

Total characters4006
Distinct characters6
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)0.1%

Sample

1st row79.5
2nd row79.5
3rd row79.5
4th row79.5
5th row79.5
ValueCountFrequency (%)
79.5 993
99.3%
222.9 6
 
0.6%
99.4 1
 
0.1%
2023-12-09T21:02:32.461965image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
9 1001
25.0%
. 1000
25.0%
7 993
24.8%
5 993
24.8%
2 18
 
0.4%
4 1
 
< 0.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 3006
75.0%
Other Punctuation 1000
 
25.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
9 1001
33.3%
7 993
33.0%
5 993
33.0%
2 18
 
0.6%
4 1
 
< 0.1%
Other Punctuation
ValueCountFrequency (%)
. 1000
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 4006
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
9 1001
25.0%
. 1000
25.0%
7 993
24.8%
5 993
24.8%
2 18
 
0.4%
4 1
 
< 0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4006
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
9 1001
25.0%
. 1000
25.0%
7 993
24.8%
5 993
24.8%
2 18
 
0.4%
4 1
 
< 0.1%
Distinct28
Distinct (%)2.8%
Missing0
Missing (%)0.0%
Memory size68.2 KiB
2023-12-09T21:02:32.675538image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.743
Min length1

Characters and Unicode

Total characters12743
Distinct characters22
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique26 ?
Unique (%)2.6%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 972
49.3%
available 972
49.3%
81.2 2
 
0.1%
64.9 1
 
0.1%
58.4 1
 
0.1%
133.5 1
 
0.1%
94 1
 
0.1%
137.8 1
 
0.1%
81.5 1
 
0.1%
103.6 1
 
0.1%
Other values (19) 19
 
1.0%
2023-12-09T21:02:33.015493image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1944
15.3%
l 1944
15.3%
N 972
7.6%
t 972
7.6%
972
7.6%
A 972
7.6%
v 972
7.6%
i 972
7.6%
b 972
7.6%
e 972
7.6%
Other values (12) 1079
8.5%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9720
76.3%
Uppercase Letter 1944
 
15.3%
Space Separator 972
 
7.6%
Decimal Number 84
 
0.7%
Other Punctuation 23
 
0.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 15
17.9%
4 11
13.1%
8 11
13.1%
3 9
10.7%
5 9
10.7%
2 7
8.3%
7 7
8.3%
0 5
 
6.0%
6 5
 
6.0%
9 5
 
6.0%
Lowercase Letter
ValueCountFrequency (%)
a 1944
20.0%
l 1944
20.0%
t 972
10.0%
v 972
10.0%
i 972
10.0%
b 972
10.0%
e 972
10.0%
o 972
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 972
50.0%
A 972
50.0%
Space Separator
ValueCountFrequency (%)
972
100.0%
Other Punctuation
ValueCountFrequency (%)
. 23
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11664
91.5%
Common 1079
 
8.5%

Most frequent character per script

Common
ValueCountFrequency (%)
972
90.1%
. 23
 
2.1%
1 15
 
1.4%
4 11
 
1.0%
8 11
 
1.0%
3 9
 
0.8%
5 9
 
0.8%
2 7
 
0.6%
7 7
 
0.6%
0 5
 
0.5%
Other values (2) 10
 
0.9%
Latin
ValueCountFrequency (%)
a 1944
16.7%
l 1944
16.7%
N 972
8.3%
t 972
8.3%
A 972
8.3%
v 972
8.3%
i 972
8.3%
b 972
8.3%
e 972
8.3%
o 972
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12743
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1944
15.3%
l 1944
15.3%
N 972
7.6%
t 972
7.6%
972
7.6%
A 972
7.6%
v 972
7.6%
i 972
7.6%
b 972
7.6%
e 972
7.6%
Other values (12) 1079
8.5%
Distinct3
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size56.8 KiB
2023-12-09T21:02:33.161318image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length1
Mean length1.017
Min length1

Characters and Unicode

Total characters1017
Distinct characters17
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2 ?
Unique (%)0.2%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0
ValueCountFrequency (%)
0 998
99.7%
1124.7 1
 
0.1%
not 1
 
0.1%
available 1
 
0.1%
2023-12-09T21:02:33.420077image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 998
98.1%
l 2
 
0.2%
a 2
 
0.2%
1 2
 
0.2%
1
 
0.1%
b 1
 
0.1%
i 1
 
0.1%
v 1
 
0.1%
A 1
 
0.1%
t 1
 
0.1%
Other values (7) 7
 
0.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1003
98.6%
Lowercase Letter 10
 
1.0%
Uppercase Letter 2
 
0.2%
Space Separator 1
 
0.1%
Other Punctuation 1
 
0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
l 2
20.0%
a 2
20.0%
b 1
10.0%
i 1
10.0%
v 1
10.0%
t 1
10.0%
o 1
10.0%
e 1
10.0%
Decimal Number
ValueCountFrequency (%)
0 998
99.5%
1 2
 
0.2%
7 1
 
0.1%
4 1
 
0.1%
2 1
 
0.1%
Uppercase Letter
ValueCountFrequency (%)
A 1
50.0%
N 1
50.0%
Space Separator
ValueCountFrequency (%)
1
100.0%
Other Punctuation
ValueCountFrequency (%)
. 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1005
98.8%
Latin 12
 
1.2%

Most frequent character per script

Latin
ValueCountFrequency (%)
l 2
16.7%
a 2
16.7%
b 1
8.3%
i 1
8.3%
v 1
8.3%
A 1
8.3%
t 1
8.3%
o 1
8.3%
N 1
8.3%
e 1
8.3%
Common
ValueCountFrequency (%)
0 998
99.3%
1 2
 
0.2%
1
 
0.1%
7 1
 
0.1%
. 1
 
0.1%
4 1
 
0.1%
2 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1017
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 998
98.1%
l 2
 
0.2%
a 2
 
0.2%
1 2
 
0.2%
1
 
0.1%
b 1
 
0.1%
i 1
 
0.1%
v 1
 
0.1%
A 1
 
0.1%
t 1
 
0.1%
Other values (7) 7
 
0.7%
Distinct29
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Memory size56.9 KiB
2023-12-09T21:02:33.612630image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length1
Mean length1.096
Min length1

Characters and Unicode

Total characters1096
Distinct characters22
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique27 ?
Unique (%)2.7%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0
ValueCountFrequency (%)
0 971
97.0%
81.2 2
 
0.2%
not 1
 
0.1%
58.4 1
 
0.1%
133.5 1
 
0.1%
1124.7 1
 
0.1%
94 1
 
0.1%
137.8 1
 
0.1%
81.5 1
 
0.1%
103.6 1
 
0.1%
Other values (20) 20
 
2.0%
2023-12-09T21:02:33.923107image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 975
89.0%
. 24
 
2.2%
1 17
 
1.6%
4 12
 
1.1%
8 11
 
1.0%
3 9
 
0.8%
5 9
 
0.8%
2 8
 
0.7%
7 8
 
0.7%
6 5
 
0.5%
Other values (12) 18
 
1.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1059
96.6%
Other Punctuation 24
 
2.2%
Lowercase Letter 10
 
0.9%
Uppercase Letter 2
 
0.2%
Space Separator 1
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 975
92.1%
1 17
 
1.6%
4 12
 
1.1%
8 11
 
1.0%
3 9
 
0.8%
5 9
 
0.8%
2 8
 
0.8%
7 8
 
0.8%
6 5
 
0.5%
9 5
 
0.5%
Lowercase Letter
ValueCountFrequency (%)
l 2
20.0%
a 2
20.0%
v 1
10.0%
b 1
10.0%
i 1
10.0%
t 1
10.0%
o 1
10.0%
e 1
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 1
50.0%
A 1
50.0%
Other Punctuation
ValueCountFrequency (%)
. 24
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1084
98.9%
Latin 12
 
1.1%

Most frequent character per script

Common
ValueCountFrequency (%)
0 975
89.9%
. 24
 
2.2%
1 17
 
1.6%
4 12
 
1.1%
8 11
 
1.0%
3 9
 
0.8%
5 9
 
0.8%
2 8
 
0.7%
7 8
 
0.7%
6 5
 
0.5%
Other values (2) 6
 
0.6%
Latin
ValueCountFrequency (%)
l 2
16.7%
a 2
16.7%
v 1
8.3%
b 1
8.3%
i 1
8.3%
N 1
8.3%
A 1
8.3%
t 1
8.3%
o 1
8.3%
e 1
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1096
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 975
89.0%
. 24
 
2.2%
1 17
 
1.6%
4 12
 
1.1%
8 11
 
1.0%
3 9
 
0.8%
5 9
 
0.8%
2 8
 
0.7%
7 8
 
0.7%
6 5
 
0.5%
Other values (12) 18
 
1.6%
Distinct33
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Memory size57.0 KiB
2023-12-09T21:02:34.137001image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length1
Mean length1.226
Min length1

Characters and Unicode

Total characters1226
Distinct characters24
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique31 ?
Unique (%)3.1%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0
ValueCountFrequency (%)
0 967
96.5%
available 2
 
0.2%
not 2
 
0.2%
13.75268 1
 
0.1%
26.84865 1
 
0.1%
40.20771 1
 
0.1%
16.91282 1
 
0.1%
3.974684 1
 
0.1%
94.78048 1
 
0.1%
11.31455 1
 
0.1%
Other values (24) 24
 
2.4%
2023-12-09T21:02:34.486942image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 989
80.7%
1 30
 
2.4%
7 29
 
2.4%
. 28
 
2.3%
2 24
 
2.0%
8 22
 
1.8%
4 21
 
1.7%
5 17
 
1.4%
9 13
 
1.1%
3 12
 
1.0%
Other values (14) 41
 
3.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1168
95.3%
Other Punctuation 28
 
2.3%
Lowercase Letter 20
 
1.6%
Uppercase Letter 6
 
0.5%
Space Separator 2
 
0.2%
Math Symbol 2
 
0.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 989
84.7%
1 30
 
2.6%
7 29
 
2.5%
2 24
 
2.1%
8 22
 
1.9%
4 21
 
1.8%
5 17
 
1.5%
9 13
 
1.1%
3 12
 
1.0%
6 11
 
0.9%
Lowercase Letter
ValueCountFrequency (%)
a 4
20.0%
l 4
20.0%
o 2
10.0%
t 2
10.0%
e 2
10.0%
b 2
10.0%
i 2
10.0%
v 2
10.0%
Uppercase Letter
ValueCountFrequency (%)
E 2
33.3%
A 2
33.3%
N 2
33.3%
Other Punctuation
ValueCountFrequency (%)
. 28
100.0%
Space Separator
ValueCountFrequency (%)
2
100.0%
Math Symbol
ValueCountFrequency (%)
+ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1200
97.9%
Latin 26
 
2.1%

Most frequent character per script

Common
ValueCountFrequency (%)
0 989
82.4%
1 30
 
2.5%
7 29
 
2.4%
. 28
 
2.3%
2 24
 
2.0%
8 22
 
1.8%
4 21
 
1.8%
5 17
 
1.4%
9 13
 
1.1%
3 12
 
1.0%
Other values (3) 15
 
1.2%
Latin
ValueCountFrequency (%)
a 4
15.4%
l 4
15.4%
E 2
7.7%
o 2
7.7%
t 2
7.7%
A 2
7.7%
N 2
7.7%
e 2
7.7%
b 2
7.7%
i 2
7.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1226
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 989
80.7%
1 30
 
2.4%
7 29
 
2.4%
. 28
 
2.3%
2 24
 
2.0%
8 22
 
1.8%
4 21
 
1.7%
5 17
 
1.4%
9 13
 
1.1%
3 12
 
1.0%
Other values (14) 41
 
3.3%
Distinct3
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size68.2 KiB
2023-12-09T21:02:34.669516image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.718
Min length1

Characters and Unicode

Total characters12718
Distinct characters13
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)0.1%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 972
49.3%
available 972
49.3%
100 27
 
1.4%
0 1
 
0.1%
2023-12-09T21:02:34.961400image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1944
15.3%
l 1944
15.3%
N 972
7.6%
o 972
7.6%
t 972
7.6%
972
7.6%
A 972
7.6%
v 972
7.6%
i 972
7.6%
b 972
7.6%
Other values (3) 1054
8.3%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9720
76.4%
Uppercase Letter 1944
 
15.3%
Space Separator 972
 
7.6%
Decimal Number 82
 
0.6%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 1944
20.0%
l 1944
20.0%
o 972
10.0%
t 972
10.0%
v 972
10.0%
i 972
10.0%
b 972
10.0%
e 972
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 972
50.0%
A 972
50.0%
Decimal Number
ValueCountFrequency (%)
0 55
67.1%
1 27
32.9%
Space Separator
ValueCountFrequency (%)
972
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11664
91.7%
Common 1054
 
8.3%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 1944
16.7%
l 1944
16.7%
N 972
8.3%
o 972
8.3%
t 972
8.3%
A 972
8.3%
v 972
8.3%
i 972
8.3%
b 972
8.3%
e 972
8.3%
Common
ValueCountFrequency (%)
972
92.2%
0 55
 
5.2%
1 27
 
2.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12718
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1944
15.3%
l 1944
15.3%
N 972
7.6%
o 972
7.6%
t 972
7.6%
972
7.6%
A 972
7.6%
v 972
7.6%
i 972
7.6%
b 972
7.6%
Other values (3) 1054
8.3%
Distinct29
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Memory size68.3 KiB
2023-12-09T21:02:35.199797image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.858
Min length7

Characters and Unicode

Total characters12858
Distinct characters22
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique28 ?
Unique (%)2.8%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 972
49.3%
available 972
49.3%
11.31455 1
 
0.1%
13.75268 1
 
0.1%
26.84865 1
 
0.1%
40.20771 1
 
0.1%
16.91282 1
 
0.1%
3.974684 1
 
0.1%
72.5338 1
 
0.1%
10.45785 1
 
0.1%
Other values (20) 20
 
1.0%
2023-12-09T21:02:35.574193image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1944
15.1%
l 1944
15.1%
N 972
7.6%
t 972
7.6%
972
7.6%
A 972
7.6%
v 972
7.6%
i 972
7.6%
b 972
7.6%
e 972
7.6%
Other values (12) 1194
9.3%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9720
75.6%
Uppercase Letter 1944
 
15.1%
Space Separator 972
 
7.6%
Decimal Number 194
 
1.5%
Other Punctuation 28
 
0.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
7 29
14.9%
1 28
14.4%
2 24
12.4%
8 21
10.8%
4 20
10.3%
5 18
9.3%
0 18
9.3%
9 13
6.7%
3 12
6.2%
6 11
 
5.7%
Lowercase Letter
ValueCountFrequency (%)
a 1944
20.0%
l 1944
20.0%
t 972
10.0%
v 972
10.0%
i 972
10.0%
b 972
10.0%
e 972
10.0%
o 972
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 972
50.0%
A 972
50.0%
Space Separator
ValueCountFrequency (%)
972
100.0%
Other Punctuation
ValueCountFrequency (%)
. 28
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11664
90.7%
Common 1194
 
9.3%

Most frequent character per script

Common
ValueCountFrequency (%)
972
81.4%
7 29
 
2.4%
1 28
 
2.3%
. 28
 
2.3%
2 24
 
2.0%
8 21
 
1.8%
4 20
 
1.7%
5 18
 
1.5%
0 18
 
1.5%
9 13
 
1.1%
Other values (2) 23
 
1.9%
Latin
ValueCountFrequency (%)
a 1944
16.7%
l 1944
16.7%
N 972
8.3%
t 972
8.3%
A 972
8.3%
v 972
8.3%
i 972
8.3%
b 972
8.3%
e 972
8.3%
o 972
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12858
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1944
15.1%
l 1944
15.1%
N 972
7.6%
t 972
7.6%
972
7.6%
A 972
7.6%
v 972
7.6%
i 972
7.6%
b 972
7.6%
e 972
7.6%
Other values (12) 1194
9.3%
Distinct32
Distinct (%)3.2%
Missing0
Missing (%)0.0%
Memory size68.4 KiB
2023-12-09T21:02:35.839548image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.907
Min length10

Characters and Unicode

Total characters12907
Distinct characters21
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique31 ?
Unique (%)3.1%

Sample

1st rowNot Available
2nd rowNot Available
3rd row1000074571
4th rowNot Available
5th row1000098026
ValueCountFrequency (%)
not 969
49.2%
available 969
49.2%
1000019934 1
 
0.1%
1000106818 1
 
0.1%
1000028413 1
 
0.1%
1000085280 1
 
0.1%
1000085267 1
 
0.1%
1000053782 1
 
0.1%
1000069629 1
 
0.1%
1000005367 1
 
0.1%
Other values (23) 23
 
1.2%
2023-12-09T21:02:36.237212image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1938
15.0%
l 1938
15.0%
N 969
7.5%
o 969
7.5%
b 969
7.5%
i 969
7.5%
e 969
7.5%
v 969
7.5%
A 969
7.5%
969
7.5%
Other values (11) 1279
9.9%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9690
75.1%
Uppercase Letter 1938
 
15.0%
Space Separator 969
 
7.5%
Decimal Number 310
 
2.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 139
44.8%
1 47
 
15.2%
8 24
 
7.7%
6 18
 
5.8%
5 18
 
5.8%
7 14
 
4.5%
2 14
 
4.5%
3 12
 
3.9%
4 12
 
3.9%
9 12
 
3.9%
Lowercase Letter
ValueCountFrequency (%)
a 1938
20.0%
l 1938
20.0%
o 969
10.0%
b 969
10.0%
i 969
10.0%
e 969
10.0%
v 969
10.0%
t 969
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 969
50.0%
A 969
50.0%
Space Separator
ValueCountFrequency (%)
969
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11628
90.1%
Common 1279
 
9.9%

Most frequent character per script

Common
ValueCountFrequency (%)
969
75.8%
0 139
 
10.9%
1 47
 
3.7%
8 24
 
1.9%
6 18
 
1.4%
5 18
 
1.4%
7 14
 
1.1%
2 14
 
1.1%
3 12
 
0.9%
4 12
 
0.9%
Latin
ValueCountFrequency (%)
a 1938
16.7%
l 1938
16.7%
N 969
8.3%
o 969
8.3%
b 969
8.3%
i 969
8.3%
e 969
8.3%
v 969
8.3%
A 969
8.3%
t 969
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12907
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1938
15.0%
l 1938
15.0%
N 969
7.5%
o 969
7.5%
b 969
7.5%
i 969
7.5%
e 969
7.5%
v 969
7.5%
A 969
7.5%
969
7.5%
Other values (11) 1279
9.9%
Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size68.5 KiB
2023-12-09T21:02:36.422040image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.988
Min length1

Characters and Unicode

Total characters12988
Distinct characters12
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)0.1%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 999
50.0%
available 999
50.0%
0 1
 
0.1%
2023-12-09T21:02:36.702622image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1998
15.4%
l 1998
15.4%
N 999
7.7%
o 999
7.7%
t 999
7.7%
999
7.7%
A 999
7.7%
v 999
7.7%
i 999
7.7%
b 999
7.7%
Other values (2) 1000
7.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9990
76.9%
Uppercase Letter 1998
 
15.4%
Space Separator 999
 
7.7%
Decimal Number 1
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 1998
20.0%
l 1998
20.0%
o 999
10.0%
t 999
10.0%
v 999
10.0%
i 999
10.0%
b 999
10.0%
e 999
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 999
50.0%
A 999
50.0%
Space Separator
ValueCountFrequency (%)
999
100.0%
Decimal Number
ValueCountFrequency (%)
0 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11988
92.3%
Common 1000
 
7.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 1998
16.7%
l 1998
16.7%
N 999
8.3%
o 999
8.3%
t 999
8.3%
A 999
8.3%
v 999
8.3%
i 999
8.3%
b 999
8.3%
e 999
8.3%
Common
ValueCountFrequency (%)
999
99.9%
0 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12988
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1998
15.4%
l 1998
15.4%
N 999
7.7%
o 999
7.7%
t 999
7.7%
999
7.7%
A 999
7.7%
v 999
7.7%
i 999
7.7%
b 999
7.7%
Other values (2) 1000
7.7%
Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size68.5 KiB
2023-12-09T21:02:36.870890image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length13
Min length13

Characters and Unicode

Total characters13000
Distinct characters11
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 1000
50.0%
available 1000
50.0%
2023-12-09T21:02:37.149321image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 2000
15.4%
l 2000
15.4%
N 1000
7.7%
o 1000
7.7%
t 1000
7.7%
1000
7.7%
A 1000
7.7%
v 1000
7.7%
i 1000
7.7%
b 1000
7.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 10000
76.9%
Uppercase Letter 2000
 
15.4%
Space Separator 1000
 
7.7%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 2000
20.0%
l 2000
20.0%
o 1000
10.0%
t 1000
10.0%
v 1000
10.0%
i 1000
10.0%
b 1000
10.0%
e 1000
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 1000
50.0%
A 1000
50.0%
Space Separator
ValueCountFrequency (%)
1000
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 12000
92.3%
Common 1000
 
7.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 2000
16.7%
l 2000
16.7%
N 1000
8.3%
o 1000
8.3%
t 1000
8.3%
A 1000
8.3%
v 1000
8.3%
i 1000
8.3%
b 1000
8.3%
e 1000
8.3%
Common
ValueCountFrequency (%)
1000
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 13000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 2000
15.4%
l 2000
15.4%
N 1000
7.7%
o 1000
7.7%
t 1000
7.7%
1000
7.7%
A 1000
7.7%
v 1000
7.7%
i 1000
7.7%
b 1000
7.7%
Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size68.5 KiB
2023-12-09T21:02:37.316890image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length13
Min length13

Characters and Unicode

Total characters13000
Distinct characters11
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 1000
50.0%
available 1000
50.0%
2023-12-09T21:02:37.598707image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 2000
15.4%
l 2000
15.4%
N 1000
7.7%
o 1000
7.7%
t 1000
7.7%
1000
7.7%
A 1000
7.7%
v 1000
7.7%
i 1000
7.7%
b 1000
7.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 10000
76.9%
Uppercase Letter 2000
 
15.4%
Space Separator 1000
 
7.7%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 2000
20.0%
l 2000
20.0%
o 1000
10.0%
t 1000
10.0%
v 1000
10.0%
i 1000
10.0%
b 1000
10.0%
e 1000
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 1000
50.0%
A 1000
50.0%
Space Separator
ValueCountFrequency (%)
1000
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 12000
92.3%
Common 1000
 
7.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 2000
16.7%
l 2000
16.7%
N 1000
8.3%
o 1000
8.3%
t 1000
8.3%
A 1000
8.3%
v 1000
8.3%
i 1000
8.3%
b 1000
8.3%
e 1000
8.3%
Common
ValueCountFrequency (%)
1000
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 13000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 2000
15.4%
l 2000
15.4%
N 1000
7.7%
o 1000
7.7%
t 1000
7.7%
1000
7.7%
A 1000
7.7%
v 1000
7.7%
i 1000
7.7%
b 1000
7.7%
Distinct22
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Memory size68.3 KiB
2023-12-09T21:02:37.811913image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.823
Min length4

Characters and Unicode

Total characters12823
Distinct characters22
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique21 ?
Unique (%)2.1%

Sample

1st row5227
2nd row2115
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 979
49.5%
available 979
49.5%
44054 1
 
0.1%
13370 1
 
0.1%
3799 1
 
0.1%
2115 1
 
0.1%
11036.3 1
 
0.1%
5146 1
 
0.1%
12942 1
 
0.1%
8003 1
 
0.1%
Other values (13) 13
 
0.7%
2023-12-09T21:02:38.145501image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1958
15.3%
l 1958
15.3%
N 979
7.6%
o 979
7.6%
t 979
7.6%
979
7.6%
A 979
7.6%
v 979
7.6%
i 979
7.6%
b 979
7.6%
Other values (12) 1075
8.4%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9790
76.3%
Uppercase Letter 1958
 
15.3%
Space Separator 979
 
7.6%
Decimal Number 95
 
0.7%
Other Punctuation 1
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 16
16.8%
4 14
14.7%
2 13
13.7%
3 11
11.6%
0 10
10.5%
7 8
8.4%
9 8
8.4%
6 7
7.4%
5 5
 
5.3%
8 3
 
3.2%
Lowercase Letter
ValueCountFrequency (%)
a 1958
20.0%
l 1958
20.0%
o 979
10.0%
t 979
10.0%
v 979
10.0%
i 979
10.0%
b 979
10.0%
e 979
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 979
50.0%
A 979
50.0%
Space Separator
ValueCountFrequency (%)
979
100.0%
Other Punctuation
ValueCountFrequency (%)
. 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11748
91.6%
Common 1075
 
8.4%

Most frequent character per script

Common
ValueCountFrequency (%)
979
91.1%
1 16
 
1.5%
4 14
 
1.3%
2 13
 
1.2%
3 11
 
1.0%
0 10
 
0.9%
7 8
 
0.7%
9 8
 
0.7%
6 7
 
0.7%
5 5
 
0.5%
Other values (2) 4
 
0.4%
Latin
ValueCountFrequency (%)
a 1958
16.7%
l 1958
16.7%
N 979
8.3%
o 979
8.3%
t 979
8.3%
A 979
8.3%
v 979
8.3%
i 979
8.3%
b 979
8.3%
e 979
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12823
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1958
15.3%
l 1958
15.3%
N 979
7.6%
o 979
7.6%
t 979
7.6%
979
7.6%
A 979
7.6%
v 979
7.6%
i 979
7.6%
b 979
7.6%
Other values (12) 1075
8.4%
Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size68.5 KiB
2023-12-09T21:02:38.321522image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length13
Min length13

Characters and Unicode

Total characters13000
Distinct characters11
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 1000
50.0%
available 1000
50.0%
2023-12-09T21:02:38.600772image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 2000
15.4%
l 2000
15.4%
N 1000
7.7%
o 1000
7.7%
t 1000
7.7%
1000
7.7%
A 1000
7.7%
v 1000
7.7%
i 1000
7.7%
b 1000
7.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 10000
76.9%
Uppercase Letter 2000
 
15.4%
Space Separator 1000
 
7.7%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 2000
20.0%
l 2000
20.0%
o 1000
10.0%
t 1000
10.0%
v 1000
10.0%
i 1000
10.0%
b 1000
10.0%
e 1000
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 1000
50.0%
A 1000
50.0%
Space Separator
ValueCountFrequency (%)
1000
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 12000
92.3%
Common 1000
 
7.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 2000
16.7%
l 2000
16.7%
N 1000
8.3%
o 1000
8.3%
t 1000
8.3%
A 1000
8.3%
v 1000
8.3%
i 1000
8.3%
b 1000
8.3%
e 1000
8.3%
Common
ValueCountFrequency (%)
1000
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 13000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 2000
15.4%
l 2000
15.4%
N 1000
7.7%
o 1000
7.7%
t 1000
7.7%
1000
7.7%
A 1000
7.7%
v 1000
7.7%
i 1000
7.7%
b 1000
7.7%
Distinct3
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size68.5 KiB
2023-12-09T21:02:38.771258image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.986
Min length6

Characters and Unicode

Total characters12986
Distinct characters20
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2 ?
Unique (%)0.2%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 998
49.9%
available 998
49.9%
137591 1
 
0.1%
108124 1
 
0.1%
2023-12-09T21:02:39.069302image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1996
15.4%
l 1996
15.4%
N 998
7.7%
o 998
7.7%
b 998
7.7%
i 998
7.7%
e 998
7.7%
v 998
7.7%
A 998
7.7%
998
7.7%
Other values (10) 1010
7.8%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9980
76.9%
Uppercase Letter 1996
 
15.4%
Space Separator 998
 
7.7%
Decimal Number 12
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 4
33.3%
3 1
 
8.3%
7 1
 
8.3%
5 1
 
8.3%
9 1
 
8.3%
0 1
 
8.3%
8 1
 
8.3%
2 1
 
8.3%
4 1
 
8.3%
Lowercase Letter
ValueCountFrequency (%)
a 1996
20.0%
l 1996
20.0%
o 998
10.0%
b 998
10.0%
i 998
10.0%
e 998
10.0%
v 998
10.0%
t 998
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 998
50.0%
A 998
50.0%
Space Separator
ValueCountFrequency (%)
998
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11976
92.2%
Common 1010
 
7.8%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 1996
16.7%
l 1996
16.7%
N 998
8.3%
o 998
8.3%
b 998
8.3%
i 998
8.3%
e 998
8.3%
v 998
8.3%
A 998
8.3%
t 998
8.3%
Common
ValueCountFrequency (%)
998
98.8%
1 4
 
0.4%
3 1
 
0.1%
7 1
 
0.1%
5 1
 
0.1%
9 1
 
0.1%
0 1
 
0.1%
8 1
 
0.1%
2 1
 
0.1%
4 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12986
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1996
15.4%
l 1996
15.4%
N 998
7.7%
o 998
7.7%
b 998
7.7%
i 998
7.7%
e 998
7.7%
v 998
7.7%
A 998
7.7%
998
7.7%
Other values (10) 1010
7.8%
Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size68.5 KiB
2023-12-09T21:02:39.238576image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length13
Min length13

Characters and Unicode

Total characters13000
Distinct characters11
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 1000
50.0%
available 1000
50.0%
2023-12-09T21:02:39.512958image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 2000
15.4%
l 2000
15.4%
N 1000
7.7%
o 1000
7.7%
t 1000
7.7%
1000
7.7%
A 1000
7.7%
v 1000
7.7%
i 1000
7.7%
b 1000
7.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 10000
76.9%
Uppercase Letter 2000
 
15.4%
Space Separator 1000
 
7.7%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 2000
20.0%
l 2000
20.0%
o 1000
10.0%
t 1000
10.0%
v 1000
10.0%
i 1000
10.0%
b 1000
10.0%
e 1000
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 1000
50.0%
A 1000
50.0%
Space Separator
ValueCountFrequency (%)
1000
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 12000
92.3%
Common 1000
 
7.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 2000
16.7%
l 2000
16.7%
N 1000
8.3%
o 1000
8.3%
t 1000
8.3%
A 1000
8.3%
v 1000
8.3%
i 1000
8.3%
b 1000
8.3%
e 1000
8.3%
Common
ValueCountFrequency (%)
1000
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 13000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 2000
15.4%
l 2000
15.4%
N 1000
7.7%
o 1000
7.7%
t 1000
7.7%
1000
7.7%
A 1000
7.7%
v 1000
7.7%
i 1000
7.7%
b 1000
7.7%
Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size68.5 KiB
2023-12-09T21:02:39.682019image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length13
Min length13

Characters and Unicode

Total characters13000
Distinct characters11
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 1000
50.0%
available 1000
50.0%
2023-12-09T21:02:39.960047image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 2000
15.4%
l 2000
15.4%
N 1000
7.7%
o 1000
7.7%
t 1000
7.7%
1000
7.7%
A 1000
7.7%
v 1000
7.7%
i 1000
7.7%
b 1000
7.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 10000
76.9%
Uppercase Letter 2000
 
15.4%
Space Separator 1000
 
7.7%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 2000
20.0%
l 2000
20.0%
o 1000
10.0%
t 1000
10.0%
v 1000
10.0%
i 1000
10.0%
b 1000
10.0%
e 1000
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 1000
50.0%
A 1000
50.0%
Space Separator
ValueCountFrequency (%)
1000
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 12000
92.3%
Common 1000
 
7.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 2000
16.7%
l 2000
16.7%
N 1000
8.3%
o 1000
8.3%
t 1000
8.3%
A 1000
8.3%
v 1000
8.3%
i 1000
8.3%
b 1000
8.3%
e 1000
8.3%
Common
ValueCountFrequency (%)
1000
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 13000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 2000
15.4%
l 2000
15.4%
N 1000
7.7%
o 1000
7.7%
t 1000
7.7%
1000
7.7%
A 1000
7.7%
v 1000
7.7%
i 1000
7.7%
b 1000
7.7%
Distinct35
Distinct (%)3.5%
Missing0
Missing (%)0.0%
Memory size68.2 KiB
2023-12-09T21:02:40.202888image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.705
Min length3

Characters and Unicode

Total characters12705
Distinct characters22
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique34 ?
Unique (%)3.4%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 966
49.1%
available 966
49.1%
5190 1
 
0.1%
15450 1
 
0.1%
3807 1
 
0.1%
5436 1
 
0.1%
23196 1
 
0.1%
6000 1
 
0.1%
12000 1
 
0.1%
3156 1
 
0.1%
Other values (26) 26
 
1.3%
2023-12-09T21:02:40.570647image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
l 1932
15.2%
a 1932
15.2%
o 966
7.6%
e 966
7.6%
b 966
7.6%
i 966
7.6%
N 966
7.6%
v 966
7.6%
A 966
7.6%
966
7.6%
Other values (12) 1113
8.8%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9660
76.0%
Uppercase Letter 1932
 
15.2%
Space Separator 966
 
7.6%
Decimal Number 146
 
1.1%
Other Punctuation 1
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 31
21.2%
1 25
17.1%
5 14
9.6%
6 14
9.6%
3 13
8.9%
2 11
 
7.5%
4 11
 
7.5%
8 10
 
6.8%
9 9
 
6.2%
7 8
 
5.5%
Lowercase Letter
ValueCountFrequency (%)
l 1932
20.0%
a 1932
20.0%
o 966
10.0%
e 966
10.0%
b 966
10.0%
i 966
10.0%
v 966
10.0%
t 966
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 966
50.0%
A 966
50.0%
Space Separator
ValueCountFrequency (%)
966
100.0%
Other Punctuation
ValueCountFrequency (%)
. 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11592
91.2%
Common 1113
 
8.8%

Most frequent character per script

Common
ValueCountFrequency (%)
966
86.8%
0 31
 
2.8%
1 25
 
2.2%
5 14
 
1.3%
6 14
 
1.3%
3 13
 
1.2%
2 11
 
1.0%
4 11
 
1.0%
8 10
 
0.9%
9 9
 
0.8%
Other values (2) 9
 
0.8%
Latin
ValueCountFrequency (%)
l 1932
16.7%
a 1932
16.7%
o 966
8.3%
e 966
8.3%
b 966
8.3%
i 966
8.3%
N 966
8.3%
v 966
8.3%
A 966
8.3%
t 966
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12705
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
l 1932
15.2%
a 1932
15.2%
o 966
7.6%
e 966
7.6%
b 966
7.6%
i 966
7.6%
N 966
7.6%
v 966
7.6%
A 966
7.6%
966
7.6%
Other values (12) 1113
8.8%
Distinct6
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size68.3 KiB
2023-12-09T21:02:40.761576image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length17
Median length13
Mean length12.839
Min length1

Characters and Unicode

Total characters12839
Distinct characters17
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2 ?
Unique (%)0.2%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 983
49.5%
available 983
49.5%
n+1 11
 
0.6%
n 2
 
0.1%
n+2 2
 
0.1%
2n 1
 
0.1%
none 1
 
0.1%
of 1
 
0.1%
the 1
 
0.1%
above 1
 
0.1%
2023-12-09T21:02:41.068451image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
l 1966
15.3%
a 1966
15.3%
N 1000
7.8%
986
7.7%
o 986
7.7%
e 986
7.7%
A 984
7.7%
v 984
7.7%
t 984
7.7%
b 984
7.7%
Other values (7) 1013
7.9%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9842
76.7%
Uppercase Letter 1984
 
15.5%
Space Separator 986
 
7.7%
Decimal Number 14
 
0.1%
Math Symbol 13
 
0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
l 1966
20.0%
a 1966
20.0%
o 986
10.0%
e 986
10.0%
v 984
10.0%
t 984
10.0%
b 984
10.0%
i 983
10.0%
n 1
 
< 0.1%
f 1
 
< 0.1%
Uppercase Letter
ValueCountFrequency (%)
N 1000
50.4%
A 984
49.6%
Decimal Number
ValueCountFrequency (%)
1 11
78.6%
2 3
 
21.4%
Space Separator
ValueCountFrequency (%)
986
100.0%
Math Symbol
ValueCountFrequency (%)
+ 13
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11826
92.1%
Common 1013
 
7.9%

Most frequent character per script

Latin
ValueCountFrequency (%)
l 1966
16.6%
a 1966
16.6%
N 1000
8.5%
o 986
8.3%
e 986
8.3%
A 984
8.3%
v 984
8.3%
t 984
8.3%
b 984
8.3%
i 983
8.3%
Other values (3) 3
 
< 0.1%
Common
ValueCountFrequency (%)
986
97.3%
+ 13
 
1.3%
1 11
 
1.1%
2 3
 
0.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12839
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
l 1966
15.3%
a 1966
15.3%
N 1000
7.8%
986
7.7%
o 986
7.7%
e 986
7.7%
A 984
7.7%
v 984
7.7%
t 984
7.7%
b 984
7.7%
Other values (7) 1013
7.9%
Distinct6
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size68.3 KiB
2023-12-09T21:02:41.251611image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length17
Median length13
Mean length12.84
Min length1

Characters and Unicode

Total characters12840
Distinct characters17
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2 ?
Unique (%)0.2%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 983
49.5%
available 983
49.5%
n+1 11
 
0.6%
2n 2
 
0.1%
n+2 2
 
0.1%
n 1
 
0.1%
none 1
 
0.1%
of 1
 
0.1%
the 1
 
0.1%
above 1
 
0.1%
2023-12-09T21:02:41.560019image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
l 1966
15.3%
a 1966
15.3%
N 1000
7.8%
986
7.7%
o 986
7.7%
e 986
7.7%
A 984
7.7%
v 984
7.7%
t 984
7.7%
b 984
7.7%
Other values (7) 1014
7.9%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9842
76.7%
Uppercase Letter 1984
 
15.5%
Space Separator 986
 
7.7%
Decimal Number 15
 
0.1%
Math Symbol 13
 
0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
l 1966
20.0%
a 1966
20.0%
o 986
10.0%
e 986
10.0%
v 984
10.0%
t 984
10.0%
b 984
10.0%
i 983
10.0%
n 1
 
< 0.1%
f 1
 
< 0.1%
Uppercase Letter
ValueCountFrequency (%)
N 1000
50.4%
A 984
49.6%
Decimal Number
ValueCountFrequency (%)
1 11
73.3%
2 4
 
26.7%
Space Separator
ValueCountFrequency (%)
986
100.0%
Math Symbol
ValueCountFrequency (%)
+ 13
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11826
92.1%
Common 1014
 
7.9%

Most frequent character per script

Latin
ValueCountFrequency (%)
l 1966
16.6%
a 1966
16.6%
N 1000
8.5%
o 986
8.3%
e 986
8.3%
A 984
8.3%
v 984
8.3%
t 984
8.3%
b 984
8.3%
i 983
8.3%
Other values (3) 3
 
< 0.1%
Common
ValueCountFrequency (%)
986
97.2%
+ 13
 
1.3%
1 11
 
1.1%
2 4
 
0.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12840
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
l 1966
15.3%
a 1966
15.3%
N 1000
7.8%
986
7.7%
o 986
7.7%
e 986
7.7%
A 984
7.7%
v 984
7.7%
t 984
7.7%
b 984
7.7%
Other values (7) 1014
7.9%
Distinct5
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size70.4 KiB
2023-12-09T21:02:41.774715image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length124
Median length13
Mean length14.998
Min length13

Characters and Unicode

Total characters14998
Distinct characters42
Distinct categories9 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)0.1%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 966
41.8%
available 966
41.8%
it 39
 
1.7%
ups 38
 
1.6%
no 21
 
0.9%
energy 21
 
0.9%
configuration 21
 
0.9%
selected 21
 
0.9%
or 21
 
0.9%
using 21
 
0.9%
Other values (15) 175
 
7.6%
2023-12-09T21:02:42.114109image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1976
13.2%
l 1974
13.2%
1310
8.7%
e 1201
8.0%
t 1144
7.6%
o 1088
7.3%
i 1070
7.1%
N 987
6.6%
v 966
6.4%
A 966
6.4%
Other values (32) 2316
15.4%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 11255
75.0%
Uppercase Letter 2306
 
15.4%
Space Separator 1310
 
8.7%
Close Punctuation 39
 
0.3%
Open Punctuation 39
 
0.3%
Math Symbol 38
 
0.3%
Other Punctuation 8
 
0.1%
Decimal Number 2
 
< 0.1%
Dash Punctuation 1
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 1976
17.6%
l 1974
17.5%
e 1201
10.7%
t 1144
10.2%
o 1088
9.7%
i 1070
9.5%
v 966
8.6%
b 966
8.6%
r 154
 
1.4%
n 125
 
1.1%
Other values (11) 591
 
5.3%
Uppercase Letter
ValueCountFrequency (%)
N 987
42.8%
A 966
41.9%
E 60
 
2.6%
S 59
 
2.6%
U 57
 
2.5%
I 40
 
1.7%
T 40
 
1.7%
P 38
 
1.6%
C 21
 
0.9%
O 19
 
0.8%
Math Symbol
ValueCountFrequency (%)
= 19
50.0%
> 19
50.0%
Other Punctuation
ValueCountFrequency (%)
, 7
87.5%
% 1
 
12.5%
Decimal Number
ValueCountFrequency (%)
1 1
50.0%
0 1
50.0%
Space Separator
ValueCountFrequency (%)
1310
100.0%
Close Punctuation
ValueCountFrequency (%)
) 39
100.0%
Open Punctuation
ValueCountFrequency (%)
( 39
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 13561
90.4%
Common 1437
 
9.6%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 1976
14.6%
l 1974
14.6%
e 1201
8.9%
t 1144
8.4%
o 1088
8.0%
i 1070
7.9%
N 987
7.3%
v 966
7.1%
A 966
7.1%
b 966
7.1%
Other values (22) 1223
9.0%
Common
ValueCountFrequency (%)
1310
91.2%
) 39
 
2.7%
( 39
 
2.7%
= 19
 
1.3%
> 19
 
1.3%
, 7
 
0.5%
- 1
 
0.1%
1 1
 
0.1%
0 1
 
0.1%
% 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 14998
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1976
13.2%
l 1974
13.2%
1310
8.7%
e 1201
8.0%
t 1144
7.6%
o 1088
7.3%
i 1070
7.1%
N 987
6.6%
v 966
6.4%
A 966
6.4%
Other values (32) 2316
15.4%
Distinct3
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size68.2 KiB
2023-12-09T21:02:42.298445image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.758
Min length2

Characters and Unicode

Total characters12758
Distinct characters16
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 966
48.6%
available 966
48.6%
100 22
 
1.1%
yes 22
 
1.1%
no 12
 
0.6%
2023-12-09T21:02:42.590807image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1932
15.1%
l 1932
15.1%
988
7.7%
e 988
7.7%
N 978
7.7%
o 978
7.7%
t 966
7.6%
A 966
7.6%
v 966
7.6%
i 966
7.6%
Other values (6) 1098
8.6%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9716
76.2%
Uppercase Letter 1966
 
15.4%
Space Separator 988
 
7.7%
Decimal Number 66
 
0.5%
Other Punctuation 22
 
0.2%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 1932
19.9%
l 1932
19.9%
e 988
10.2%
o 978
10.1%
t 966
9.9%
v 966
9.9%
i 966
9.9%
b 966
9.9%
s 22
 
0.2%
Uppercase Letter
ValueCountFrequency (%)
N 978
49.7%
A 966
49.1%
Y 22
 
1.1%
Decimal Number
ValueCountFrequency (%)
0 44
66.7%
1 22
33.3%
Space Separator
ValueCountFrequency (%)
988
100.0%
Other Punctuation
ValueCountFrequency (%)
% 22
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11682
91.6%
Common 1076
 
8.4%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 1932
16.5%
l 1932
16.5%
e 988
8.5%
N 978
8.4%
o 978
8.4%
t 966
8.3%
A 966
8.3%
v 966
8.3%
i 966
8.3%
b 966
8.3%
Other values (2) 44
 
0.4%
Common
ValueCountFrequency (%)
988
91.8%
0 44
 
4.1%
1 22
 
2.0%
% 22
 
2.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12758
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1932
15.1%
l 1932
15.1%
988
7.7%
e 988
7.7%
N 978
7.7%
o 978
7.7%
t 966
7.6%
A 966
7.6%
v 966
7.6%
i 966
7.6%
Other values (6) 1098
8.6%
Distinct19
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Memory size68.2 KiB
2023-12-09T21:02:42.794937image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.706
Min length1

Characters and Unicode

Total characters12706
Distinct characters22
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique17 ?
Unique (%)1.7%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 966
49.1%
available 966
49.1%
0 17
 
0.9%
728404 1
 
0.1%
864611 1
 
0.1%
681871.2 1
 
0.1%
1068017.8 1
 
0.1%
1461216.4 1
 
0.1%
1066016 1
 
0.1%
590085.8 1
 
0.1%
Other values (10) 10
 
0.5%
2023-12-09T21:02:43.121549image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1932
15.2%
l 1932
15.2%
N 966
7.6%
o 966
7.6%
t 966
7.6%
966
7.6%
A 966
7.6%
v 966
7.6%
i 966
7.6%
b 966
7.6%
Other values (12) 1114
8.8%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9660
76.0%
Uppercase Letter 1932
 
15.2%
Space Separator 966
 
7.6%
Decimal Number 138
 
1.1%
Other Punctuation 10
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 28
20.3%
8 17
12.3%
1 16
11.6%
6 13
9.4%
3 12
8.7%
2 12
8.7%
7 11
 
8.0%
4 11
 
8.0%
9 9
 
6.5%
5 9
 
6.5%
Lowercase Letter
ValueCountFrequency (%)
a 1932
20.0%
l 1932
20.0%
o 966
10.0%
t 966
10.0%
v 966
10.0%
i 966
10.0%
b 966
10.0%
e 966
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 966
50.0%
A 966
50.0%
Space Separator
ValueCountFrequency (%)
966
100.0%
Other Punctuation
ValueCountFrequency (%)
. 10
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11592
91.2%
Common 1114
 
8.8%

Most frequent character per script

Common
ValueCountFrequency (%)
966
86.7%
0 28
 
2.5%
8 17
 
1.5%
1 16
 
1.4%
6 13
 
1.2%
3 12
 
1.1%
2 12
 
1.1%
7 11
 
1.0%
4 11
 
1.0%
. 10
 
0.9%
Other values (2) 18
 
1.6%
Latin
ValueCountFrequency (%)
a 1932
16.7%
l 1932
16.7%
N 966
8.3%
o 966
8.3%
t 966
8.3%
A 966
8.3%
v 966
8.3%
i 966
8.3%
b 966
8.3%
e 966
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12706
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1932
15.2%
l 1932
15.2%
N 966
7.6%
o 966
7.6%
t 966
7.6%
966
7.6%
A 966
7.6%
v 966
7.6%
i 966
7.6%
b 966
7.6%
Other values (12) 1114
8.8%
Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size68.1 KiB
2023-12-09T21:02:43.296422image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.592
Min length1

Characters and Unicode

Total characters12592
Distinct characters12
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 966
49.1%
available 966
49.1%
0 34
 
1.7%
2023-12-09T21:02:43.575649image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1932
15.3%
l 1932
15.3%
N 966
7.7%
o 966
7.7%
t 966
7.7%
966
7.7%
A 966
7.7%
v 966
7.7%
i 966
7.7%
b 966
7.7%
Other values (2) 1000
7.9%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9660
76.7%
Uppercase Letter 1932
 
15.3%
Space Separator 966
 
7.7%
Decimal Number 34
 
0.3%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 1932
20.0%
l 1932
20.0%
o 966
10.0%
t 966
10.0%
v 966
10.0%
i 966
10.0%
b 966
10.0%
e 966
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 966
50.0%
A 966
50.0%
Space Separator
ValueCountFrequency (%)
966
100.0%
Decimal Number
ValueCountFrequency (%)
0 34
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11592
92.1%
Common 1000
 
7.9%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 1932
16.7%
l 1932
16.7%
N 966
8.3%
o 966
8.3%
t 966
8.3%
A 966
8.3%
v 966
8.3%
i 966
8.3%
b 966
8.3%
e 966
8.3%
Common
ValueCountFrequency (%)
966
96.6%
0 34
 
3.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12592
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1932
15.3%
l 1932
15.3%
N 966
7.7%
o 966
7.7%
t 966
7.7%
966
7.7%
A 966
7.7%
v 966
7.7%
i 966
7.7%
b 966
7.7%
Other values (2) 1000
7.9%
Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size68.1 KiB
2023-12-09T21:02:43.741594image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.592
Min length1

Characters and Unicode

Total characters12592
Distinct characters12
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 966
49.1%
available 966
49.1%
0 34
 
1.7%
2023-12-09T21:02:44.028003image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1932
15.3%
l 1932
15.3%
N 966
7.7%
o 966
7.7%
t 966
7.7%
966
7.7%
A 966
7.7%
v 966
7.7%
i 966
7.7%
b 966
7.7%
Other values (2) 1000
7.9%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9660
76.7%
Uppercase Letter 1932
 
15.3%
Space Separator 966
 
7.7%
Decimal Number 34
 
0.3%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 1932
20.0%
l 1932
20.0%
o 966
10.0%
t 966
10.0%
v 966
10.0%
i 966
10.0%
b 966
10.0%
e 966
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 966
50.0%
A 966
50.0%
Space Separator
ValueCountFrequency (%)
966
100.0%
Decimal Number
ValueCountFrequency (%)
0 34
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11592
92.1%
Common 1000
 
7.9%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 1932
16.7%
l 1932
16.7%
N 966
8.3%
o 966
8.3%
t 966
8.3%
A 966
8.3%
v 966
8.3%
i 966
8.3%
b 966
8.3%
e 966
8.3%
Common
ValueCountFrequency (%)
966
96.6%
0 34
 
3.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12592
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1932
15.3%
l 1932
15.3%
N 966
7.7%
o 966
7.7%
t 966
7.7%
966
7.7%
A 966
7.7%
v 966
7.7%
i 966
7.7%
b 966
7.7%
Other values (2) 1000
7.9%
Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size68.1 KiB
2023-12-09T21:02:44.196935image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.592
Min length1

Characters and Unicode

Total characters12592
Distinct characters12
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 966
49.1%
available 966
49.1%
0 34
 
1.7%
2023-12-09T21:02:44.480481image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1932
15.3%
l 1932
15.3%
N 966
7.7%
o 966
7.7%
t 966
7.7%
966
7.7%
A 966
7.7%
v 966
7.7%
i 966
7.7%
b 966
7.7%
Other values (2) 1000
7.9%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9660
76.7%
Uppercase Letter 1932
 
15.3%
Space Separator 966
 
7.7%
Decimal Number 34
 
0.3%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 1932
20.0%
l 1932
20.0%
o 966
10.0%
t 966
10.0%
v 966
10.0%
i 966
10.0%
b 966
10.0%
e 966
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 966
50.0%
A 966
50.0%
Space Separator
ValueCountFrequency (%)
966
100.0%
Decimal Number
ValueCountFrequency (%)
0 34
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11592
92.1%
Common 1000
 
7.9%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 1932
16.7%
l 1932
16.7%
N 966
8.3%
o 966
8.3%
t 966
8.3%
A 966
8.3%
v 966
8.3%
i 966
8.3%
b 966
8.3%
e 966
8.3%
Common
ValueCountFrequency (%)
966
96.6%
0 34
 
3.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12592
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1932
15.3%
l 1932
15.3%
N 966
7.7%
o 966
7.7%
t 966
7.7%
966
7.7%
A 966
7.7%
v 966
7.7%
i 966
7.7%
b 966
7.7%
Other values (2) 1000
7.9%
Distinct14
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size68.4 KiB
2023-12-09T21:02:44.683845image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.931
Min length6

Characters and Unicode

Total characters12931
Distinct characters22
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique13 ?
Unique (%)1.3%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 987
49.7%
available 987
49.7%
1289440 1
 
0.1%
728404 1
 
0.1%
864611 1
 
0.1%
681871.2 1
 
0.1%
1068017.8 1
 
0.1%
1066016 1
 
0.1%
590085.8 1
 
0.1%
4335587.3 1
 
0.1%
Other values (5) 5
 
0.3%
2023-12-09T21:02:45.020520image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1974
15.3%
l 1974
15.3%
N 987
7.6%
t 987
7.6%
987
7.6%
A 987
7.6%
v 987
7.6%
i 987
7.6%
b 987
7.6%
e 987
7.6%
Other values (12) 1087
8.4%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9870
76.3%
Uppercase Letter 1974
 
15.3%
Space Separator 987
 
7.6%
Decimal Number 92
 
0.7%
Other Punctuation 8
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
8 16
17.4%
1 12
13.0%
6 10
10.9%
2 9
9.8%
0 9
9.8%
5 9
9.8%
3 9
9.8%
7 7
7.6%
4 6
 
6.5%
9 5
 
5.4%
Lowercase Letter
ValueCountFrequency (%)
a 1974
20.0%
l 1974
20.0%
t 987
10.0%
v 987
10.0%
i 987
10.0%
b 987
10.0%
e 987
10.0%
o 987
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 987
50.0%
A 987
50.0%
Space Separator
ValueCountFrequency (%)
987
100.0%
Other Punctuation
ValueCountFrequency (%)
. 8
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11844
91.6%
Common 1087
 
8.4%

Most frequent character per script

Common
ValueCountFrequency (%)
987
90.8%
8 16
 
1.5%
1 12
 
1.1%
6 10
 
0.9%
2 9
 
0.8%
0 9
 
0.8%
5 9
 
0.8%
3 9
 
0.8%
. 8
 
0.7%
7 7
 
0.6%
Other values (2) 11
 
1.0%
Latin
ValueCountFrequency (%)
a 1974
16.7%
l 1974
16.7%
N 987
8.3%
t 987
8.3%
A 987
8.3%
v 987
8.3%
i 987
8.3%
b 987
8.3%
e 987
8.3%
o 987
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12931
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1974
15.3%
l 1974
15.3%
N 987
7.6%
t 987
7.6%
987
7.6%
A 987
7.6%
v 987
7.6%
i 987
7.6%
b 987
7.6%
e 987
7.6%
Other values (12) 1087
8.4%
Distinct14
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size68.4 KiB
2023-12-09T21:02:45.232224image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.952
Min length6

Characters and Unicode

Total characters12952
Distinct characters22
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique13 ?
Unique (%)1.3%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 987
49.7%
available 987
49.7%
31277325.8 1
 
0.1%
8260147.3 1
 
0.1%
5637443.3 1
 
0.1%
73397346.8 1
 
0.1%
2095759.1 1
 
0.1%
6514324.9 1
 
0.1%
6958880.9 1
 
0.1%
10203414.9 1
 
0.1%
Other values (5) 5
 
0.3%
2023-12-09T21:02:45.569666image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1974
15.2%
l 1974
15.2%
N 987
7.6%
t 987
7.6%
987
7.6%
A 987
7.6%
v 987
7.6%
i 987
7.6%
b 987
7.6%
e 987
7.6%
Other values (12) 1108
8.6%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9870
76.2%
Uppercase Letter 1974
 
15.2%
Space Separator 987
 
7.6%
Decimal Number 109
 
0.8%
Other Punctuation 12
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
4 17
15.6%
1 14
12.8%
3 12
11.0%
2 12
11.0%
7 11
10.1%
9 11
10.1%
0 9
8.3%
5 8
7.3%
8 8
7.3%
6 7
6.4%
Lowercase Letter
ValueCountFrequency (%)
a 1974
20.0%
l 1974
20.0%
t 987
10.0%
v 987
10.0%
i 987
10.0%
b 987
10.0%
e 987
10.0%
o 987
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 987
50.0%
A 987
50.0%
Space Separator
ValueCountFrequency (%)
987
100.0%
Other Punctuation
ValueCountFrequency (%)
. 12
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11844
91.4%
Common 1108
 
8.6%

Most frequent character per script

Common
ValueCountFrequency (%)
987
89.1%
4 17
 
1.5%
1 14
 
1.3%
. 12
 
1.1%
3 12
 
1.1%
2 12
 
1.1%
7 11
 
1.0%
9 11
 
1.0%
0 9
 
0.8%
5 8
 
0.7%
Other values (2) 15
 
1.4%
Latin
ValueCountFrequency (%)
a 1974
16.7%
l 1974
16.7%
N 987
8.3%
t 987
8.3%
A 987
8.3%
v 987
8.3%
i 987
8.3%
b 987
8.3%
e 987
8.3%
o 987
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12952
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1974
15.2%
l 1974
15.2%
N 987
7.6%
t 987
7.6%
987
7.6%
A 987
7.6%
v 987
7.6%
i 987
7.6%
b 987
7.6%
e 987
7.6%
Other values (12) 1108
8.6%

data_center_pue
Text

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size68.5 KiB
2023-12-09T21:02:45.743031image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length13
Min length13

Characters and Unicode

Total characters13000
Distinct characters11
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 1000
50.0%
available 1000
50.0%
2023-12-09T21:02:46.020575image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 2000
15.4%
l 2000
15.4%
N 1000
7.7%
o 1000
7.7%
t 1000
7.7%
1000
7.7%
A 1000
7.7%
v 1000
7.7%
i 1000
7.7%
b 1000
7.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 10000
76.9%
Uppercase Letter 2000
 
15.4%
Space Separator 1000
 
7.7%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 2000
20.0%
l 2000
20.0%
o 1000
10.0%
t 1000
10.0%
v 1000
10.0%
i 1000
10.0%
b 1000
10.0%
e 1000
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 1000
50.0%
A 1000
50.0%
Space Separator
ValueCountFrequency (%)
1000
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 12000
92.3%
Common 1000
 
7.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 2000
16.7%
l 2000
16.7%
N 1000
8.3%
o 1000
8.3%
t 1000
8.3%
A 1000
8.3%
v 1000
8.3%
i 1000
8.3%
b 1000
8.3%
e 1000
8.3%
Common
ValueCountFrequency (%)
1000
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 13000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 2000
15.4%
l 2000
15.4%
N 1000
7.7%
o 1000
7.7%
t 1000
7.7%
1000
7.7%
A 1000
7.7%
v 1000
7.7%
i 1000
7.7%
b 1000
7.7%
Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size68.5 KiB
2023-12-09T21:02:46.188877image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length13
Min length13

Characters and Unicode

Total characters13000
Distinct characters11
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 1000
50.0%
available 1000
50.0%
2023-12-09T21:02:46.465996image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 2000
15.4%
l 2000
15.4%
N 1000
7.7%
o 1000
7.7%
t 1000
7.7%
1000
7.7%
A 1000
7.7%
v 1000
7.7%
i 1000
7.7%
b 1000
7.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 10000
76.9%
Uppercase Letter 2000
 
15.4%
Space Separator 1000
 
7.7%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 2000
20.0%
l 2000
20.0%
o 1000
10.0%
t 1000
10.0%
v 1000
10.0%
i 1000
10.0%
b 1000
10.0%
e 1000
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 1000
50.0%
A 1000
50.0%
Space Separator
ValueCountFrequency (%)
1000
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 12000
92.3%
Common 1000
 
7.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 2000
16.7%
l 2000
16.7%
N 1000
8.3%
o 1000
8.3%
t 1000
8.3%
A 1000
8.3%
v 1000
8.3%
i 1000
8.3%
b 1000
8.3%
e 1000
8.3%
Common
ValueCountFrequency (%)
1000
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 13000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 2000
15.4%
l 2000
15.4%
N 1000
7.7%
o 1000
7.7%
t 1000
7.7%
1000
7.7%
A 1000
7.7%
v 1000
7.7%
i 1000
7.7%
b 1000
7.7%
Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size68.5 KiB
2023-12-09T21:02:46.634439image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length13
Min length13

Characters and Unicode

Total characters13000
Distinct characters11
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 1000
50.0%
available 1000
50.0%
2023-12-09T21:02:46.912554image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 2000
15.4%
l 2000
15.4%
N 1000
7.7%
o 1000
7.7%
t 1000
7.7%
1000
7.7%
A 1000
7.7%
v 1000
7.7%
i 1000
7.7%
b 1000
7.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 10000
76.9%
Uppercase Letter 2000
 
15.4%
Space Separator 1000
 
7.7%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 2000
20.0%
l 2000
20.0%
o 1000
10.0%
t 1000
10.0%
v 1000
10.0%
i 1000
10.0%
b 1000
10.0%
e 1000
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 1000
50.0%
A 1000
50.0%
Space Separator
ValueCountFrequency (%)
1000
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 12000
92.3%
Common 1000
 
7.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 2000
16.7%
l 2000
16.7%
N 1000
8.3%
o 1000
8.3%
t 1000
8.3%
A 1000
8.3%
v 1000
8.3%
i 1000
8.3%
b 1000
8.3%
e 1000
8.3%
Common
ValueCountFrequency (%)
1000
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 13000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 2000
15.4%
l 2000
15.4%
N 1000
7.7%
o 1000
7.7%
t 1000
7.7%
1000
7.7%
A 1000
7.7%
v 1000
7.7%
i 1000
7.7%
b 1000
7.7%
Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size68.5 KiB
2023-12-09T21:02:47.079046image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length13
Min length13

Characters and Unicode

Total characters13000
Distinct characters11
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 1000
50.0%
available 1000
50.0%
2023-12-09T21:02:47.362088image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 2000
15.4%
l 2000
15.4%
N 1000
7.7%
o 1000
7.7%
t 1000
7.7%
1000
7.7%
A 1000
7.7%
v 1000
7.7%
i 1000
7.7%
b 1000
7.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 10000
76.9%
Uppercase Letter 2000
 
15.4%
Space Separator 1000
 
7.7%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 2000
20.0%
l 2000
20.0%
o 1000
10.0%
t 1000
10.0%
v 1000
10.0%
i 1000
10.0%
b 1000
10.0%
e 1000
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 1000
50.0%
A 1000
50.0%
Space Separator
ValueCountFrequency (%)
1000
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 12000
92.3%
Common 1000
 
7.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 2000
16.7%
l 2000
16.7%
N 1000
8.3%
o 1000
8.3%
t 1000
8.3%
A 1000
8.3%
v 1000
8.3%
i 1000
8.3%
b 1000
8.3%
e 1000
8.3%
Common
ValueCountFrequency (%)
1000
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 13000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 2000
15.4%
l 2000
15.4%
N 1000
7.7%
o 1000
7.7%
t 1000
7.7%
1000
7.7%
A 1000
7.7%
v 1000
7.7%
i 1000
7.7%
b 1000
7.7%
Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size68.5 KiB
2023-12-09T21:02:47.528644image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length13
Min length13

Characters and Unicode

Total characters13000
Distinct characters11
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 1000
50.0%
available 1000
50.0%
2023-12-09T21:02:47.805005image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 2000
15.4%
l 2000
15.4%
N 1000
7.7%
o 1000
7.7%
t 1000
7.7%
1000
7.7%
A 1000
7.7%
v 1000
7.7%
i 1000
7.7%
b 1000
7.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 10000
76.9%
Uppercase Letter 2000
 
15.4%
Space Separator 1000
 
7.7%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 2000
20.0%
l 2000
20.0%
o 1000
10.0%
t 1000
10.0%
v 1000
10.0%
i 1000
10.0%
b 1000
10.0%
e 1000
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 1000
50.0%
A 1000
50.0%
Space Separator
ValueCountFrequency (%)
1000
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 12000
92.3%
Common 1000
 
7.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 2000
16.7%
l 2000
16.7%
N 1000
8.3%
o 1000
8.3%
t 1000
8.3%
A 1000
8.3%
v 1000
8.3%
i 1000
8.3%
b 1000
8.3%
e 1000
8.3%
Common
ValueCountFrequency (%)
1000
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 13000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 2000
15.4%
l 2000
15.4%
N 1000
7.7%
o 1000
7.7%
t 1000
7.7%
1000
7.7%
A 1000
7.7%
v 1000
7.7%
i 1000
7.7%
b 1000
7.7%
Distinct30
Distinct (%)3.0%
Missing0
Missing (%)0.0%
Memory size68.3 KiB
2023-12-09T21:02:48.035387image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.776
Min length1

Characters and Unicode

Total characters12776
Distinct characters21
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique29 ?
Unique (%)2.9%

Sample

1st rowNot Available
2nd rowNot Available
3rd row577534
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 971
49.3%
available 971
49.3%
378759 1
 
0.1%
292344 1
 
0.1%
536391 1
 
0.1%
167776 1
 
0.1%
80304 1
 
0.1%
46103 1
 
0.1%
5897 1
 
0.1%
129660 1
 
0.1%
Other values (21) 21
 
1.1%
2023-12-09T21:02:48.402444image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1942
15.2%
l 1942
15.2%
N 971
7.6%
o 971
7.6%
b 971
7.6%
i 971
7.6%
e 971
7.6%
v 971
7.6%
A 971
7.6%
971
7.6%
Other values (11) 1124
8.8%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9710
76.0%
Uppercase Letter 1942
 
15.2%
Space Separator 971
 
7.6%
Decimal Number 153
 
1.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 24
15.7%
1 21
13.7%
9 18
11.8%
7 17
11.1%
5 14
9.2%
4 14
9.2%
6 13
8.5%
3 13
8.5%
8 10
6.5%
2 9
 
5.9%
Lowercase Letter
ValueCountFrequency (%)
a 1942
20.0%
l 1942
20.0%
o 971
10.0%
b 971
10.0%
i 971
10.0%
e 971
10.0%
v 971
10.0%
t 971
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 971
50.0%
A 971
50.0%
Space Separator
ValueCountFrequency (%)
971
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11652
91.2%
Common 1124
 
8.8%

Most frequent character per script

Common
ValueCountFrequency (%)
971
86.4%
0 24
 
2.1%
1 21
 
1.9%
9 18
 
1.6%
7 17
 
1.5%
5 14
 
1.2%
4 14
 
1.2%
6 13
 
1.2%
3 13
 
1.2%
8 10
 
0.9%
Latin
ValueCountFrequency (%)
a 1942
16.7%
l 1942
16.7%
N 971
8.3%
o 971
8.3%
b 971
8.3%
i 971
8.3%
e 971
8.3%
v 971
8.3%
A 971
8.3%
t 971
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12776
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1942
15.2%
l 1942
15.2%
N 971
7.6%
o 971
7.6%
b 971
7.6%
i 971
7.6%
e 971
7.6%
v 971
7.6%
A 971
7.6%
971
7.6%
Other values (11) 1124
8.8%
Distinct28
Distinct (%)2.8%
Missing0
Missing (%)0.0%
Memory size68.2 KiB
2023-12-09T21:02:48.622866image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.712
Min length1

Characters and Unicode

Total characters12712
Distinct characters21
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique25 ?
Unique (%)2.5%

Sample

1st rowNot Available
2nd rowNot Available
3rd row1280
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 971
49.3%
available 971
49.3%
600 2
 
0.1%
10 2
 
0.1%
15352 1
 
0.1%
17 1
 
0.1%
2528 1
 
0.1%
14 1
 
0.1%
1800 1
 
0.1%
2179 1
 
0.1%
Other values (19) 19
 
1.0%
2023-12-09T21:02:48.956914image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1942
15.3%
l 1942
15.3%
N 971
7.6%
o 971
7.6%
b 971
7.6%
i 971
7.6%
e 971
7.6%
v 971
7.6%
A 971
7.6%
971
7.6%
Other values (11) 1060
8.3%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9710
76.4%
Uppercase Letter 1942
 
15.3%
Space Separator 971
 
7.6%
Decimal Number 89
 
0.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 16
18.0%
0 15
16.9%
5 10
11.2%
2 9
10.1%
7 8
9.0%
3 8
9.0%
6 7
7.9%
8 6
 
6.7%
4 6
 
6.7%
9 4
 
4.5%
Lowercase Letter
ValueCountFrequency (%)
a 1942
20.0%
l 1942
20.0%
o 971
10.0%
b 971
10.0%
i 971
10.0%
e 971
10.0%
v 971
10.0%
t 971
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 971
50.0%
A 971
50.0%
Space Separator
ValueCountFrequency (%)
971
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11652
91.7%
Common 1060
 
8.3%

Most frequent character per script

Common
ValueCountFrequency (%)
971
91.6%
1 16
 
1.5%
0 15
 
1.4%
5 10
 
0.9%
2 9
 
0.8%
7 8
 
0.8%
3 8
 
0.8%
6 7
 
0.7%
8 6
 
0.6%
4 6
 
0.6%
Latin
ValueCountFrequency (%)
a 1942
16.7%
l 1942
16.7%
N 971
8.3%
o 971
8.3%
b 971
8.3%
i 971
8.3%
e 971
8.3%
v 971
8.3%
A 971
8.3%
t 971
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12712
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1942
15.3%
l 1942
15.3%
N 971
7.6%
o 971
7.6%
b 971
7.6%
i 971
7.6%
e 971
7.6%
v 971
7.6%
A 971
7.6%
971
7.6%
Other values (11) 1060
8.3%
Distinct16
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size68.2 KiB
2023-12-09T21:02:49.153008image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.689
Min length1

Characters and Unicode

Total characters12689
Distinct characters22
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique8 ?
Unique (%)0.8%

Sample

1st rowNot Available
2nd rowNot Available
3rd row90
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 971
49.3%
available 971
49.3%
65 5
 
0.3%
70 4
 
0.2%
55 4
 
0.2%
40 2
 
0.1%
50 2
 
0.1%
60 2
 
0.1%
66 2
 
0.1%
25.91 1
 
0.1%
Other values (7) 7
 
0.4%
2023-12-09T21:02:49.465736image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1942
15.3%
l 1942
15.3%
N 971
7.7%
t 971
7.7%
971
7.7%
A 971
7.7%
v 971
7.7%
i 971
7.7%
b 971
7.7%
e 971
7.7%
Other values (12) 1037
8.2%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9710
76.5%
Uppercase Letter 1942
 
15.3%
Space Separator 971
 
7.7%
Decimal Number 63
 
0.5%
Other Punctuation 3
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 19
30.2%
0 14
22.2%
6 12
19.0%
7 4
 
6.3%
9 4
 
6.3%
4 3
 
4.8%
2 3
 
4.8%
3 2
 
3.2%
1 1
 
1.6%
8 1
 
1.6%
Lowercase Letter
ValueCountFrequency (%)
a 1942
20.0%
l 1942
20.0%
t 971
10.0%
v 971
10.0%
i 971
10.0%
b 971
10.0%
e 971
10.0%
o 971
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 971
50.0%
A 971
50.0%
Space Separator
ValueCountFrequency (%)
971
100.0%
Other Punctuation
ValueCountFrequency (%)
. 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11652
91.8%
Common 1037
 
8.2%

Most frequent character per script

Common
ValueCountFrequency (%)
971
93.6%
5 19
 
1.8%
0 14
 
1.4%
6 12
 
1.2%
7 4
 
0.4%
9 4
 
0.4%
4 3
 
0.3%
2 3
 
0.3%
. 3
 
0.3%
3 2
 
0.2%
Other values (2) 2
 
0.2%
Latin
ValueCountFrequency (%)
a 1942
16.7%
l 1942
16.7%
N 971
8.3%
t 971
8.3%
A 971
8.3%
v 971
8.3%
i 971
8.3%
b 971
8.3%
e 971
8.3%
o 971
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12689
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1942
15.3%
l 1942
15.3%
N 971
7.7%
t 971
7.7%
971
7.7%
A 971
7.7%
v 971
7.7%
i 971
7.7%
b 971
7.7%
e 971
7.7%
Other values (12) 1037
8.2%
Distinct30
Distinct (%)3.0%
Missing0
Missing (%)0.0%
Memory size68.3 KiB
2023-12-09T21:02:49.701710image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.763
Min length1

Characters and Unicode

Total characters12763
Distinct characters22
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique29 ?
Unique (%)2.9%

Sample

1st rowNot Available
2nd rowNot Available
3rd row95.96
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 971
49.3%
available 971
49.3%
133.28 1
 
0.1%
384.92 1
 
0.1%
345.9 1
 
0.1%
770.39 1
 
0.1%
304.69 1
 
0.1%
603.04 1
 
0.1%
4 1
 
0.1%
650.74 1
 
0.1%
Other values (21) 21
 
1.1%
2023-12-09T21:02:50.069979image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1942
15.2%
l 1942
15.2%
N 971
7.6%
t 971
7.6%
971
7.6%
A 971
7.6%
v 971
7.6%
i 971
7.6%
b 971
7.6%
e 971
7.6%
Other values (12) 1111
8.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9710
76.1%
Uppercase Letter 1942
 
15.2%
Space Separator 971
 
7.6%
Decimal Number 117
 
0.9%
Other Punctuation 23
 
0.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 16
13.7%
1 16
13.7%
3 16
13.7%
4 14
12.0%
0 13
11.1%
9 13
11.1%
5 9
7.7%
8 8
6.8%
6 7
6.0%
7 5
 
4.3%
Lowercase Letter
ValueCountFrequency (%)
a 1942
20.0%
l 1942
20.0%
t 971
10.0%
v 971
10.0%
i 971
10.0%
b 971
10.0%
e 971
10.0%
o 971
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 971
50.0%
A 971
50.0%
Space Separator
ValueCountFrequency (%)
971
100.0%
Other Punctuation
ValueCountFrequency (%)
. 23
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11652
91.3%
Common 1111
 
8.7%

Most frequent character per script

Common
ValueCountFrequency (%)
971
87.4%
. 23
 
2.1%
2 16
 
1.4%
1 16
 
1.4%
3 16
 
1.4%
4 14
 
1.3%
0 13
 
1.2%
9 13
 
1.2%
5 9
 
0.8%
8 8
 
0.7%
Other values (2) 12
 
1.1%
Latin
ValueCountFrequency (%)
a 1942
16.7%
l 1942
16.7%
N 971
8.3%
t 971
8.3%
A 971
8.3%
v 971
8.3%
i 971
8.3%
b 971
8.3%
e 971
8.3%
o 971
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12763
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1942
15.2%
l 1942
15.2%
N 971
7.6%
t 971
7.6%
971
7.6%
A 971
7.6%
v 971
7.6%
i 971
7.6%
b 971
7.6%
e 971
7.6%
Other values (12) 1111
8.7%
Distinct5
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size68.5 KiB
2023-12-09T21:02:50.253521image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.966
Min length4

Characters and Unicode

Total characters12966
Distinct characters19
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique4 ?
Unique (%)0.4%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 996
49.9%
available 996
49.9%
6000 1
 
0.1%
1672 1
 
0.1%
17500 1
 
0.1%
34000 1
 
0.1%
2023-12-09T21:02:50.546109image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1992
15.4%
l 1992
15.4%
N 996
7.7%
e 996
7.7%
o 996
7.7%
i 996
7.7%
b 996
7.7%
v 996
7.7%
A 996
7.7%
996
7.7%
Other values (9) 1014
7.8%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9960
76.8%
Uppercase Letter 1992
 
15.4%
Space Separator 996
 
7.7%
Decimal Number 18
 
0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 1992
20.0%
l 1992
20.0%
e 996
10.0%
o 996
10.0%
i 996
10.0%
b 996
10.0%
v 996
10.0%
t 996
10.0%
Decimal Number
ValueCountFrequency (%)
0 8
44.4%
6 2
 
11.1%
1 2
 
11.1%
7 2
 
11.1%
2 1
 
5.6%
5 1
 
5.6%
3 1
 
5.6%
4 1
 
5.6%
Uppercase Letter
ValueCountFrequency (%)
N 996
50.0%
A 996
50.0%
Space Separator
ValueCountFrequency (%)
996
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11952
92.2%
Common 1014
 
7.8%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 1992
16.7%
l 1992
16.7%
N 996
8.3%
e 996
8.3%
o 996
8.3%
i 996
8.3%
b 996
8.3%
v 996
8.3%
A 996
8.3%
t 996
8.3%
Common
ValueCountFrequency (%)
996
98.2%
0 8
 
0.8%
6 2
 
0.2%
1 2
 
0.2%
7 2
 
0.2%
2 1
 
0.1%
5 1
 
0.1%
3 1
 
0.1%
4 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12966
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1992
15.4%
l 1992
15.4%
N 996
7.7%
e 996
7.7%
o 996
7.7%
i 996
7.7%
b 996
7.7%
v 996
7.7%
A 996
7.7%
996
7.7%
Other values (9) 1014
7.8%
Distinct3
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size68.5 KiB
2023-12-09T21:02:50.717586image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.979
Min length1

Characters and Unicode

Total characters12979
Distinct characters14
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2 ?
Unique (%)0.2%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 998
49.9%
available 998
49.9%
1300 1
 
0.1%
0 1
 
0.1%
2023-12-09T21:02:51.002089image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1996
15.4%
l 1996
15.4%
N 998
7.7%
o 998
7.7%
t 998
7.7%
998
7.7%
A 998
7.7%
v 998
7.7%
i 998
7.7%
b 998
7.7%
Other values (4) 1003
7.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9980
76.9%
Uppercase Letter 1996
 
15.4%
Space Separator 998
 
7.7%
Decimal Number 5
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 1996
20.0%
l 1996
20.0%
o 998
10.0%
t 998
10.0%
v 998
10.0%
i 998
10.0%
b 998
10.0%
e 998
10.0%
Decimal Number
ValueCountFrequency (%)
0 3
60.0%
1 1
 
20.0%
3 1
 
20.0%
Uppercase Letter
ValueCountFrequency (%)
N 998
50.0%
A 998
50.0%
Space Separator
ValueCountFrequency (%)
998
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11976
92.3%
Common 1003
 
7.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 1996
16.7%
l 1996
16.7%
N 998
8.3%
o 998
8.3%
t 998
8.3%
A 998
8.3%
v 998
8.3%
i 998
8.3%
b 998
8.3%
e 998
8.3%
Common
ValueCountFrequency (%)
998
99.5%
0 3
 
0.3%
1 1
 
0.1%
3 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12979
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1996
15.4%
l 1996
15.4%
N 998
7.7%
o 998
7.7%
t 998
7.7%
998
7.7%
A 998
7.7%
v 998
7.7%
i 998
7.7%
b 998
7.7%
Other values (4) 1003
7.7%
Distinct8
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size68.4 KiB
2023-12-09T21:02:51.181222image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.94
Min length4

Characters and Unicode

Total characters12940
Distinct characters20
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique7 ?
Unique (%)0.7%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 993
49.8%
available 993
49.8%
1440 1
 
0.1%
11750 1
 
0.1%
8828 1
 
0.1%
2349 1
 
0.1%
14081 1
 
0.1%
1510 1
 
0.1%
10000 1
 
0.1%
2023-12-09T21:02:51.476494image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1986
15.3%
l 1986
15.3%
N 993
7.7%
o 993
7.7%
b 993
7.7%
i 993
7.7%
e 993
7.7%
v 993
7.7%
A 993
7.7%
993
7.7%
Other values (10) 1024
7.9%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9930
76.7%
Uppercase Letter 1986
 
15.3%
Space Separator 993
 
7.7%
Decimal Number 31
 
0.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 8
25.8%
0 8
25.8%
4 4
12.9%
8 4
12.9%
5 2
 
6.5%
2 2
 
6.5%
7 1
 
3.2%
3 1
 
3.2%
9 1
 
3.2%
Lowercase Letter
ValueCountFrequency (%)
a 1986
20.0%
l 1986
20.0%
o 993
10.0%
b 993
10.0%
i 993
10.0%
e 993
10.0%
v 993
10.0%
t 993
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 993
50.0%
A 993
50.0%
Space Separator
ValueCountFrequency (%)
993
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11916
92.1%
Common 1024
 
7.9%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 1986
16.7%
l 1986
16.7%
N 993
8.3%
o 993
8.3%
b 993
8.3%
i 993
8.3%
e 993
8.3%
v 993
8.3%
A 993
8.3%
t 993
8.3%
Common
ValueCountFrequency (%)
993
97.0%
1 8
 
0.8%
0 8
 
0.8%
4 4
 
0.4%
8 4
 
0.4%
5 2
 
0.2%
2 2
 
0.2%
7 1
 
0.1%
3 1
 
0.1%
9 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12940
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1986
15.3%
l 1986
15.3%
N 993
7.7%
o 993
7.7%
b 993
7.7%
i 993
7.7%
e 993
7.7%
v 993
7.7%
A 993
7.7%
993
7.7%
Other values (10) 1024
7.9%
Distinct6
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size68.4 KiB
2023-12-09T21:02:51.654912image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.957
Min length3

Characters and Unicode

Total characters12957
Distinct characters21
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique5 ?
Unique (%)0.5%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 995
49.9%
available 995
49.9%
1219 1
 
0.1%
2620 1
 
0.1%
12687 1
 
0.1%
800 1
 
0.1%
7599.4 1
 
0.1%
2023-12-09T21:02:51.949450image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1990
15.4%
l 1990
15.4%
N 995
7.7%
o 995
7.7%
b 995
7.7%
i 995
7.7%
e 995
7.7%
v 995
7.7%
A 995
7.7%
995
7.7%
Other values (11) 1017
7.8%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9950
76.8%
Uppercase Letter 1990
 
15.4%
Space Separator 995
 
7.7%
Decimal Number 21
 
0.2%
Other Punctuation 1
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 4
19.0%
1 3
14.3%
9 3
14.3%
0 3
14.3%
6 2
9.5%
8 2
9.5%
7 2
9.5%
5 1
 
4.8%
4 1
 
4.8%
Lowercase Letter
ValueCountFrequency (%)
a 1990
20.0%
l 1990
20.0%
o 995
10.0%
b 995
10.0%
i 995
10.0%
e 995
10.0%
v 995
10.0%
t 995
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 995
50.0%
A 995
50.0%
Space Separator
ValueCountFrequency (%)
995
100.0%
Other Punctuation
ValueCountFrequency (%)
. 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11940
92.2%
Common 1017
 
7.8%

Most frequent character per script

Common
ValueCountFrequency (%)
995
97.8%
2 4
 
0.4%
1 3
 
0.3%
9 3
 
0.3%
0 3
 
0.3%
6 2
 
0.2%
8 2
 
0.2%
7 2
 
0.2%
5 1
 
0.1%
. 1
 
0.1%
Latin
ValueCountFrequency (%)
a 1990
16.7%
l 1990
16.7%
N 995
8.3%
o 995
8.3%
b 995
8.3%
i 995
8.3%
e 995
8.3%
v 995
8.3%
A 995
8.3%
t 995
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12957
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1990
15.4%
l 1990
15.4%
N 995
7.7%
o 995
7.7%
b 995
7.7%
i 995
7.7%
e 995
7.7%
v 995
7.7%
A 995
7.7%
995
7.7%
Other values (11) 1017
7.8%
Distinct6
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size68.5 KiB
2023-12-09T21:02:52.130267image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.967
Min length6

Characters and Unicode

Total characters12967
Distinct characters21
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique5 ?
Unique (%)0.5%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 995
49.9%
available 995
49.9%
2405480 1
 
0.1%
308789 1
 
0.1%
589161 1
 
0.1%
338424 1
 
0.1%
3813938 1
 
0.1%
2023-12-09T21:02:52.444424image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1990
15.3%
l 1990
15.3%
N 995
7.7%
o 995
7.7%
b 995
7.7%
i 995
7.7%
e 995
7.7%
v 995
7.7%
A 995
7.7%
995
7.7%
Other values (11) 1027
7.9%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9950
76.7%
Uppercase Letter 1990
 
15.3%
Space Separator 995
 
7.7%
Decimal Number 32
 
0.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
8 7
21.9%
3 6
18.8%
4 4
12.5%
0 3
9.4%
9 3
9.4%
1 3
9.4%
2 2
 
6.2%
5 2
 
6.2%
7 1
 
3.1%
6 1
 
3.1%
Lowercase Letter
ValueCountFrequency (%)
a 1990
20.0%
l 1990
20.0%
o 995
10.0%
b 995
10.0%
i 995
10.0%
e 995
10.0%
v 995
10.0%
t 995
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 995
50.0%
A 995
50.0%
Space Separator
ValueCountFrequency (%)
995
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11940
92.1%
Common 1027
 
7.9%

Most frequent character per script

Common
ValueCountFrequency (%)
995
96.9%
8 7
 
0.7%
3 6
 
0.6%
4 4
 
0.4%
0 3
 
0.3%
9 3
 
0.3%
1 3
 
0.3%
2 2
 
0.2%
5 2
 
0.2%
7 1
 
0.1%
Latin
ValueCountFrequency (%)
a 1990
16.7%
l 1990
16.7%
N 995
8.3%
o 995
8.3%
b 995
8.3%
i 995
8.3%
e 995
8.3%
v 995
8.3%
A 995
8.3%
t 995
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12967
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1990
15.3%
l 1990
15.3%
N 995
7.7%
o 995
7.7%
b 995
7.7%
i 995
7.7%
e 995
7.7%
v 995
7.7%
A 995
7.7%
995
7.7%
Other values (11) 1027
7.9%
Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size68.5 KiB
2023-12-09T21:02:52.621138image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.975
Min length8

Characters and Unicode

Total characters12975
Distinct characters16
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 995
49.8%
available 995
49.8%
100 5
 
0.2%
yes 5
 
0.2%
2023-12-09T21:02:52.912382image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1990
15.3%
l 1990
15.3%
1000
7.7%
e 1000
7.7%
N 995
7.7%
o 995
7.7%
t 995
7.7%
A 995
7.7%
v 995
7.7%
i 995
7.7%
Other values (6) 1025
7.9%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9960
76.8%
Uppercase Letter 1995
 
15.4%
Space Separator 1000
 
7.7%
Decimal Number 15
 
0.1%
Other Punctuation 5
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 1990
20.0%
l 1990
20.0%
e 1000
10.0%
o 995
10.0%
t 995
10.0%
v 995
10.0%
i 995
10.0%
b 995
10.0%
s 5
 
0.1%
Uppercase Letter
ValueCountFrequency (%)
N 995
49.9%
A 995
49.9%
Y 5
 
0.3%
Decimal Number
ValueCountFrequency (%)
0 10
66.7%
1 5
33.3%
Space Separator
ValueCountFrequency (%)
1000
100.0%
Other Punctuation
ValueCountFrequency (%)
% 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11955
92.1%
Common 1020
 
7.9%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 1990
16.6%
l 1990
16.6%
e 1000
8.4%
N 995
8.3%
o 995
8.3%
t 995
8.3%
A 995
8.3%
v 995
8.3%
i 995
8.3%
b 995
8.3%
Other values (2) 10
 
0.1%
Common
ValueCountFrequency (%)
1000
98.0%
0 10
 
1.0%
1 5
 
0.5%
% 5
 
0.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12975
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1990
15.3%
l 1990
15.3%
1000
7.7%
e 1000
7.7%
N 995
7.7%
o 995
7.7%
t 995
7.7%
A 995
7.7%
v 995
7.7%
i 995
7.7%
Other values (6) 1025
7.9%
Distinct6
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size68.4 KiB
2023-12-09T21:02:53.090885image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.959
Min length3

Characters and Unicode

Total characters12959
Distinct characters21
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique5 ?
Unique (%)0.5%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 995
49.9%
available 995
49.9%
455 1
 
0.1%
2050.6 1
 
0.1%
3868.12 1
 
0.1%
225 1
 
0.1%
206.9 1
 
0.1%
2023-12-09T21:02:53.389360image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1990
15.4%
l 1990
15.4%
N 995
7.7%
o 995
7.7%
b 995
7.7%
i 995
7.7%
e 995
7.7%
v 995
7.7%
A 995
7.7%
995
7.7%
Other values (11) 1019
7.9%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9950
76.8%
Uppercase Letter 1990
 
15.4%
Space Separator 995
 
7.7%
Decimal Number 21
 
0.2%
Other Punctuation 3
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 5
23.8%
5 4
19.0%
0 3
14.3%
6 3
14.3%
8 2
 
9.5%
4 1
 
4.8%
3 1
 
4.8%
1 1
 
4.8%
9 1
 
4.8%
Lowercase Letter
ValueCountFrequency (%)
a 1990
20.0%
l 1990
20.0%
o 995
10.0%
b 995
10.0%
i 995
10.0%
e 995
10.0%
v 995
10.0%
t 995
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 995
50.0%
A 995
50.0%
Space Separator
ValueCountFrequency (%)
995
100.0%
Other Punctuation
ValueCountFrequency (%)
. 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11940
92.1%
Common 1019
 
7.9%

Most frequent character per script

Common
ValueCountFrequency (%)
995
97.6%
2 5
 
0.5%
5 4
 
0.4%
0 3
 
0.3%
. 3
 
0.3%
6 3
 
0.3%
8 2
 
0.2%
4 1
 
0.1%
3 1
 
0.1%
1 1
 
0.1%
Latin
ValueCountFrequency (%)
a 1990
16.7%
l 1990
16.7%
N 995
8.3%
o 995
8.3%
b 995
8.3%
i 995
8.3%
e 995
8.3%
v 995
8.3%
A 995
8.3%
t 995
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12959
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1990
15.4%
l 1990
15.4%
N 995
7.7%
o 995
7.7%
b 995
7.7%
i 995
7.7%
e 995
7.7%
v 995
7.7%
A 995
7.7%
995
7.7%
Other values (11) 1019
7.9%
Distinct5
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size68.4 KiB
2023-12-09T21:02:53.564246image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.941
Min length1

Characters and Unicode

Total characters12941
Distinct characters14
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique3 ?
Unique (%)0.3%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 995
49.9%
available 995
49.9%
1 2
 
0.1%
2 1
 
0.1%
5 1
 
0.1%
12 1
 
0.1%
2023-12-09T21:02:53.854455image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1990
15.4%
l 1990
15.4%
N 995
7.7%
o 995
7.7%
t 995
7.7%
995
7.7%
A 995
7.7%
v 995
7.7%
i 995
7.7%
b 995
7.7%
Other values (4) 1001
7.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9950
76.9%
Uppercase Letter 1990
 
15.4%
Space Separator 995
 
7.7%
Decimal Number 6
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 1990
20.0%
l 1990
20.0%
o 995
10.0%
t 995
10.0%
v 995
10.0%
i 995
10.0%
b 995
10.0%
e 995
10.0%
Decimal Number
ValueCountFrequency (%)
1 3
50.0%
2 2
33.3%
5 1
 
16.7%
Uppercase Letter
ValueCountFrequency (%)
N 995
50.0%
A 995
50.0%
Space Separator
ValueCountFrequency (%)
995
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11940
92.3%
Common 1001
 
7.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 1990
16.7%
l 1990
16.7%
N 995
8.3%
o 995
8.3%
t 995
8.3%
A 995
8.3%
v 995
8.3%
i 995
8.3%
b 995
8.3%
e 995
8.3%
Common
ValueCountFrequency (%)
995
99.4%
1 3
 
0.3%
2 2
 
0.2%
5 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12941
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1990
15.4%
l 1990
15.4%
N 995
7.7%
o 995
7.7%
t 995
7.7%
995
7.7%
A 995
7.7%
v 995
7.7%
i 995
7.7%
b 995
7.7%
Other values (4) 1001
7.7%
Distinct6
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size68.5 KiB
2023-12-09T21:02:54.032253image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.97
Min length7

Characters and Unicode

Total characters12970
Distinct characters20
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique5 ?
Unique (%)0.5%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 995
49.9%
available 995
49.9%
0.00339 1
 
0.1%
0.00295 1
 
0.1%
0.00324 1
 
0.1%
0.00315 1
 
0.1%
0.00208 1
 
0.1%
2023-12-09T21:02:54.340405image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1990
15.3%
l 1990
15.3%
N 995
7.7%
o 995
7.7%
b 995
7.7%
i 995
7.7%
e 995
7.7%
v 995
7.7%
A 995
7.7%
995
7.7%
Other values (10) 1030
7.9%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9950
76.7%
Uppercase Letter 1990
 
15.3%
Space Separator 995
 
7.7%
Decimal Number 30
 
0.2%
Other Punctuation 5
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 1990
20.0%
l 1990
20.0%
o 995
10.0%
b 995
10.0%
i 995
10.0%
e 995
10.0%
v 995
10.0%
t 995
10.0%
Decimal Number
ValueCountFrequency (%)
0 16
53.3%
3 4
 
13.3%
2 3
 
10.0%
9 2
 
6.7%
5 2
 
6.7%
4 1
 
3.3%
1 1
 
3.3%
8 1
 
3.3%
Uppercase Letter
ValueCountFrequency (%)
N 995
50.0%
A 995
50.0%
Space Separator
ValueCountFrequency (%)
995
100.0%
Other Punctuation
ValueCountFrequency (%)
. 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11940
92.1%
Common 1030
 
7.9%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 1990
16.7%
l 1990
16.7%
N 995
8.3%
o 995
8.3%
b 995
8.3%
i 995
8.3%
e 995
8.3%
v 995
8.3%
A 995
8.3%
t 995
8.3%
Common
ValueCountFrequency (%)
995
96.6%
0 16
 
1.6%
. 5
 
0.5%
3 4
 
0.4%
2 3
 
0.3%
9 2
 
0.2%
5 2
 
0.2%
4 1
 
0.1%
1 1
 
0.1%
8 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12970
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1990
15.3%
l 1990
15.3%
N 995
7.7%
o 995
7.7%
b 995
7.7%
i 995
7.7%
e 995
7.7%
v 995
7.7%
A 995
7.7%
995
7.7%
Other values (10) 1030
7.9%
Distinct6
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size68.4 KiB
2023-12-09T21:02:54.518826image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.951
Min length3

Characters and Unicode

Total characters12951
Distinct characters21
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique5 ?
Unique (%)0.5%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 995
49.9%
available 995
49.9%
1786 1
 
0.1%
206 1
 
0.1%
439 1
 
0.1%
843 1
 
0.1%
125 1
 
0.1%
2023-12-09T21:02:54.810199image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1990
15.4%
l 1990
15.4%
N 995
7.7%
o 995
7.7%
b 995
7.7%
i 995
7.7%
e 995
7.7%
v 995
7.7%
A 995
7.7%
995
7.7%
Other values (11) 1011
7.8%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9950
76.8%
Uppercase Letter 1990
 
15.4%
Space Separator 995
 
7.7%
Decimal Number 16
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 2
12.5%
8 2
12.5%
6 2
12.5%
2 2
12.5%
4 2
12.5%
3 2
12.5%
7 1
6.2%
0 1
6.2%
9 1
6.2%
5 1
6.2%
Lowercase Letter
ValueCountFrequency (%)
a 1990
20.0%
l 1990
20.0%
o 995
10.0%
b 995
10.0%
i 995
10.0%
e 995
10.0%
v 995
10.0%
t 995
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 995
50.0%
A 995
50.0%
Space Separator
ValueCountFrequency (%)
995
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11940
92.2%
Common 1011
 
7.8%

Most frequent character per script

Common
ValueCountFrequency (%)
995
98.4%
1 2
 
0.2%
8 2
 
0.2%
6 2
 
0.2%
2 2
 
0.2%
4 2
 
0.2%
3 2
 
0.2%
7 1
 
0.1%
0 1
 
0.1%
9 1
 
0.1%
Latin
ValueCountFrequency (%)
a 1990
16.7%
l 1990
16.7%
N 995
8.3%
o 995
8.3%
b 995
8.3%
i 995
8.3%
e 995
8.3%
v 995
8.3%
A 995
8.3%
t 995
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12951
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1990
15.4%
l 1990
15.4%
N 995
7.7%
o 995
7.7%
b 995
7.7%
i 995
7.7%
e 995
7.7%
v 995
7.7%
A 995
7.7%
995
7.7%
Other values (11) 1011
7.8%
Distinct6
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size68.5 KiB
2023-12-09T21:02:54.990967image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.97
Min length7

Characters and Unicode

Total characters12970
Distinct characters22
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique5 ?
Unique (%)0.5%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 995
49.9%
available 995
49.9%
0.35045 1
 
0.1%
0.36936 1
 
0.1%
0.74513 1
 
0.1%
0.46828 1
 
0.1%
0.66712 1
 
0.1%
2023-12-09T21:02:55.294015image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1990
15.3%
l 1990
15.3%
N 995
7.7%
o 995
7.7%
t 995
7.7%
995
7.7%
A 995
7.7%
v 995
7.7%
i 995
7.7%
b 995
7.7%
Other values (12) 1030
7.9%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9950
76.7%
Uppercase Letter 1990
 
15.3%
Space Separator 995
 
7.7%
Decimal Number 30
 
0.2%
Other Punctuation 5
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 6
20.0%
6 5
16.7%
3 4
13.3%
5 3
10.0%
4 3
10.0%
7 2
 
6.7%
1 2
 
6.7%
8 2
 
6.7%
2 2
 
6.7%
9 1
 
3.3%
Lowercase Letter
ValueCountFrequency (%)
a 1990
20.0%
l 1990
20.0%
o 995
10.0%
t 995
10.0%
v 995
10.0%
i 995
10.0%
b 995
10.0%
e 995
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 995
50.0%
A 995
50.0%
Space Separator
ValueCountFrequency (%)
995
100.0%
Other Punctuation
ValueCountFrequency (%)
. 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11940
92.1%
Common 1030
 
7.9%

Most frequent character per script

Common
ValueCountFrequency (%)
995
96.6%
0 6
 
0.6%
. 5
 
0.5%
6 5
 
0.5%
3 4
 
0.4%
5 3
 
0.3%
4 3
 
0.3%
7 2
 
0.2%
1 2
 
0.2%
8 2
 
0.2%
Other values (2) 3
 
0.3%
Latin
ValueCountFrequency (%)
a 1990
16.7%
l 1990
16.7%
N 995
8.3%
o 995
8.3%
t 995
8.3%
A 995
8.3%
v 995
8.3%
i 995
8.3%
b 995
8.3%
e 995
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12970
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1990
15.3%
l 1990
15.3%
N 995
7.7%
o 995
7.7%
t 995
7.7%
995
7.7%
A 995
7.7%
v 995
7.7%
i 995
7.7%
b 995
7.7%
Other values (12) 1030
7.9%
Distinct6
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size68.4 KiB
2023-12-09T21:02:55.474535image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.96
Min length3

Characters and Unicode

Total characters12960
Distinct characters20
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique5 ?
Unique (%)0.5%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 995
49.9%
available 995
49.9%
1572 1
 
0.1%
7399.87 1
 
0.1%
395.8 1
 
0.1%
3922.9 1
 
0.1%
900 1
 
0.1%
2023-12-09T21:02:55.765371image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1990
15.4%
l 1990
15.4%
N 995
7.7%
o 995
7.7%
b 995
7.7%
i 995
7.7%
e 995
7.7%
v 995
7.7%
A 995
7.7%
995
7.7%
Other values (10) 1020
7.9%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9950
76.8%
Uppercase Letter 1990
 
15.4%
Space Separator 995
 
7.7%
Decimal Number 22
 
0.2%
Other Punctuation 3
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 1990
20.0%
l 1990
20.0%
o 995
10.0%
b 995
10.0%
i 995
10.0%
e 995
10.0%
v 995
10.0%
t 995
10.0%
Decimal Number
ValueCountFrequency (%)
9 6
27.3%
7 3
13.6%
2 3
13.6%
3 3
13.6%
5 2
 
9.1%
8 2
 
9.1%
0 2
 
9.1%
1 1
 
4.5%
Uppercase Letter
ValueCountFrequency (%)
N 995
50.0%
A 995
50.0%
Space Separator
ValueCountFrequency (%)
995
100.0%
Other Punctuation
ValueCountFrequency (%)
. 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11940
92.1%
Common 1020
 
7.9%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 1990
16.7%
l 1990
16.7%
N 995
8.3%
o 995
8.3%
b 995
8.3%
i 995
8.3%
e 995
8.3%
v 995
8.3%
A 995
8.3%
t 995
8.3%
Common
ValueCountFrequency (%)
995
97.5%
9 6
 
0.6%
7 3
 
0.3%
2 3
 
0.3%
3 3
 
0.3%
. 3
 
0.3%
5 2
 
0.2%
8 2
 
0.2%
0 2
 
0.2%
1 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12960
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1990
15.4%
l 1990
15.4%
N 995
7.7%
o 995
7.7%
b 995
7.7%
i 995
7.7%
e 995
7.7%
v 995
7.7%
A 995
7.7%
995
7.7%
Other values (10) 1020
7.9%
Distinct6
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size68.5 KiB
2023-12-09T21:02:55.946013image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.969
Min length6

Characters and Unicode

Total characters12969
Distinct characters22
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique5 ?
Unique (%)0.5%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 995
49.9%
available 995
49.9%
1.94022 1
 
0.1%
2.6682 1
 
0.1%
1.63082 1
 
0.1%
2.65939 1
 
0.1%
1.28178 1
 
0.1%
2023-12-09T21:02:56.251075image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1990
15.3%
l 1990
15.3%
N 995
7.7%
t 995
7.7%
995
7.7%
A 995
7.7%
v 995
7.7%
i 995
7.7%
b 995
7.7%
e 995
7.7%
Other values (12) 1029
7.9%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9950
76.7%
Uppercase Letter 1990
 
15.3%
Space Separator 995
 
7.7%
Decimal Number 29
 
0.2%
Other Punctuation 5
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 7
24.1%
8 4
13.8%
6 4
13.8%
1 4
13.8%
9 3
10.3%
0 2
 
6.9%
3 2
 
6.9%
4 1
 
3.4%
5 1
 
3.4%
7 1
 
3.4%
Lowercase Letter
ValueCountFrequency (%)
a 1990
20.0%
l 1990
20.0%
t 995
10.0%
v 995
10.0%
i 995
10.0%
b 995
10.0%
e 995
10.0%
o 995
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 995
50.0%
A 995
50.0%
Space Separator
ValueCountFrequency (%)
995
100.0%
Other Punctuation
ValueCountFrequency (%)
. 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11940
92.1%
Common 1029
 
7.9%

Most frequent character per script

Common
ValueCountFrequency (%)
995
96.7%
2 7
 
0.7%
. 5
 
0.5%
8 4
 
0.4%
6 4
 
0.4%
1 4
 
0.4%
9 3
 
0.3%
0 2
 
0.2%
3 2
 
0.2%
4 1
 
0.1%
Other values (2) 2
 
0.2%
Latin
ValueCountFrequency (%)
a 1990
16.7%
l 1990
16.7%
N 995
8.3%
t 995
8.3%
A 995
8.3%
v 995
8.3%
i 995
8.3%
b 995
8.3%
e 995
8.3%
o 995
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12969
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1990
15.3%
l 1990
15.3%
N 995
7.7%
t 995
7.7%
995
7.7%
A 995
7.7%
v 995
7.7%
i 995
7.7%
b 995
7.7%
e 995
7.7%
Other values (12) 1029
7.9%
Distinct3
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size68.4 KiB
2023-12-09T21:02:56.424560image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.949
Min length2

Characters and Unicode

Total characters12949
Distinct characters14
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)0.1%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 995
49.9%
available 995
49.9%
100 4
 
0.2%
90 1
 
0.1%
2023-12-09T21:02:56.714964image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1990
15.4%
l 1990
15.4%
N 995
7.7%
o 995
7.7%
t 995
7.7%
995
7.7%
A 995
7.7%
v 995
7.7%
i 995
7.7%
b 995
7.7%
Other values (4) 1009
7.8%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9950
76.8%
Uppercase Letter 1990
 
15.4%
Space Separator 995
 
7.7%
Decimal Number 14
 
0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 1990
20.0%
l 1990
20.0%
o 995
10.0%
t 995
10.0%
v 995
10.0%
i 995
10.0%
b 995
10.0%
e 995
10.0%
Decimal Number
ValueCountFrequency (%)
0 9
64.3%
1 4
28.6%
9 1
 
7.1%
Uppercase Letter
ValueCountFrequency (%)
N 995
50.0%
A 995
50.0%
Space Separator
ValueCountFrequency (%)
995
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11940
92.2%
Common 1009
 
7.8%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 1990
16.7%
l 1990
16.7%
N 995
8.3%
o 995
8.3%
t 995
8.3%
A 995
8.3%
v 995
8.3%
i 995
8.3%
b 995
8.3%
e 995
8.3%
Common
ValueCountFrequency (%)
995
98.6%
0 9
 
0.9%
1 4
 
0.4%
9 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12949
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1990
15.4%
l 1990
15.4%
N 995
7.7%
o 995
7.7%
t 995
7.7%
995
7.7%
A 995
7.7%
v 995
7.7%
i 995
7.7%
b 995
7.7%
Other values (4) 1009
7.8%
Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size68.4 KiB
2023-12-09T21:02:56.884377image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.95
Min length3

Characters and Unicode

Total characters12950
Distinct characters13
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 995
49.9%
available 995
49.9%
100 5
 
0.3%
2023-12-09T21:02:57.166419image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1990
15.4%
l 1990
15.4%
N 995
7.7%
o 995
7.7%
t 995
7.7%
995
7.7%
A 995
7.7%
v 995
7.7%
i 995
7.7%
b 995
7.7%
Other values (3) 1010
7.8%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9950
76.8%
Uppercase Letter 1990
 
15.4%
Space Separator 995
 
7.7%
Decimal Number 15
 
0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 1990
20.0%
l 1990
20.0%
o 995
10.0%
t 995
10.0%
v 995
10.0%
i 995
10.0%
b 995
10.0%
e 995
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 995
50.0%
A 995
50.0%
Decimal Number
ValueCountFrequency (%)
0 10
66.7%
1 5
33.3%
Space Separator
ValueCountFrequency (%)
995
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11940
92.2%
Common 1010
 
7.8%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 1990
16.7%
l 1990
16.7%
N 995
8.3%
o 995
8.3%
t 995
8.3%
A 995
8.3%
v 995
8.3%
i 995
8.3%
b 995
8.3%
e 995
8.3%
Common
ValueCountFrequency (%)
995
98.5%
0 10
 
1.0%
1 5
 
0.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12950
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1990
15.4%
l 1990
15.4%
N 995
7.7%
o 995
7.7%
t 995
7.7%
995
7.7%
A 995
7.7%
v 995
7.7%
i 995
7.7%
b 995
7.7%
Other values (3) 1010
7.8%
Distinct4
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size68.5 KiB
2023-12-09T21:02:57.343287image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.977
Min length5

Characters and Unicode

Total characters12977
Distinct characters21
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique3 ?
Unique (%)0.3%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 997
49.9%
available 997
49.9%
109276 1
 
0.1%
37684 1
 
0.1%
20517 1
 
0.1%
2023-12-09T21:02:57.651811image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1994
15.4%
l 1994
15.4%
N 997
7.7%
o 997
7.7%
b 997
7.7%
i 997
7.7%
e 997
7.7%
v 997
7.7%
A 997
7.7%
997
7.7%
Other values (11) 1013
7.8%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9970
76.8%
Uppercase Letter 1994
 
15.4%
Space Separator 997
 
7.7%
Decimal Number 16
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
7 3
18.8%
1 2
12.5%
0 2
12.5%
2 2
12.5%
6 2
12.5%
9 1
 
6.2%
3 1
 
6.2%
8 1
 
6.2%
4 1
 
6.2%
5 1
 
6.2%
Lowercase Letter
ValueCountFrequency (%)
a 1994
20.0%
l 1994
20.0%
o 997
10.0%
b 997
10.0%
i 997
10.0%
e 997
10.0%
v 997
10.0%
t 997
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 997
50.0%
A 997
50.0%
Space Separator
ValueCountFrequency (%)
997
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11964
92.2%
Common 1013
 
7.8%

Most frequent character per script

Common
ValueCountFrequency (%)
997
98.4%
7 3
 
0.3%
1 2
 
0.2%
0 2
 
0.2%
2 2
 
0.2%
6 2
 
0.2%
9 1
 
0.1%
3 1
 
0.1%
8 1
 
0.1%
4 1
 
0.1%
Latin
ValueCountFrequency (%)
a 1994
16.7%
l 1994
16.7%
N 997
8.3%
o 997
8.3%
b 997
8.3%
i 997
8.3%
e 997
8.3%
v 997
8.3%
A 997
8.3%
t 997
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12977
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1994
15.4%
l 1994
15.4%
N 997
7.7%
o 997
7.7%
b 997
7.7%
i 997
7.7%
e 997
7.7%
v 997
7.7%
A 997
7.7%
997
7.7%
Other values (11) 1013
7.8%
Distinct3
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size68.5 KiB
2023-12-09T21:02:57.824218image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.968
Min length2

Characters and Unicode

Total characters12968
Distinct characters15
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)0.1%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 997
49.9%
available 997
49.9%
40 2
 
0.1%
350 1
 
0.1%
2023-12-09T21:02:58.115135image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1994
15.4%
l 1994
15.4%
N 997
7.7%
o 997
7.7%
t 997
7.7%
997
7.7%
A 997
7.7%
v 997
7.7%
i 997
7.7%
b 997
7.7%
Other values (5) 1004
7.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9970
76.9%
Uppercase Letter 1994
 
15.4%
Space Separator 997
 
7.7%
Decimal Number 7
 
0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 1994
20.0%
l 1994
20.0%
o 997
10.0%
t 997
10.0%
v 997
10.0%
i 997
10.0%
b 997
10.0%
e 997
10.0%
Decimal Number
ValueCountFrequency (%)
0 3
42.9%
4 2
28.6%
3 1
 
14.3%
5 1
 
14.3%
Uppercase Letter
ValueCountFrequency (%)
N 997
50.0%
A 997
50.0%
Space Separator
ValueCountFrequency (%)
997
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11964
92.3%
Common 1004
 
7.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 1994
16.7%
l 1994
16.7%
N 997
8.3%
o 997
8.3%
t 997
8.3%
A 997
8.3%
v 997
8.3%
i 997
8.3%
b 997
8.3%
e 997
8.3%
Common
ValueCountFrequency (%)
997
99.3%
0 3
 
0.3%
4 2
 
0.2%
3 1
 
0.1%
5 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12968
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1994
15.4%
l 1994
15.4%
N 997
7.7%
o 997
7.7%
t 997
7.7%
997
7.7%
A 997
7.7%
v 997
7.7%
i 997
7.7%
b 997
7.7%
Other values (5) 1004
7.7%
Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size68.5 KiB
2023-12-09T21:02:58.286113image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.989
Min length2

Characters and Unicode

Total characters12989
Distinct characters13
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)0.1%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 999
50.0%
available 999
50.0%
30 1
 
0.1%
2023-12-09T21:02:58.641235image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1998
15.4%
l 1998
15.4%
N 999
7.7%
o 999
7.7%
t 999
7.7%
999
7.7%
A 999
7.7%
v 999
7.7%
i 999
7.7%
b 999
7.7%
Other values (3) 1001
7.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9990
76.9%
Uppercase Letter 1998
 
15.4%
Space Separator 999
 
7.7%
Decimal Number 2
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 1998
20.0%
l 1998
20.0%
o 999
10.0%
t 999
10.0%
v 999
10.0%
i 999
10.0%
b 999
10.0%
e 999
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 999
50.0%
A 999
50.0%
Decimal Number
ValueCountFrequency (%)
3 1
50.0%
0 1
50.0%
Space Separator
ValueCountFrequency (%)
999
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11988
92.3%
Common 1001
 
7.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 1998
16.7%
l 1998
16.7%
N 999
8.3%
o 999
8.3%
t 999
8.3%
A 999
8.3%
v 999
8.3%
i 999
8.3%
b 999
8.3%
e 999
8.3%
Common
ValueCountFrequency (%)
999
99.8%
3 1
 
0.1%
0 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12989
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1998
15.4%
l 1998
15.4%
N 999
7.7%
o 999
7.7%
t 999
7.7%
999
7.7%
A 999
7.7%
v 999
7.7%
i 999
7.7%
b 999
7.7%
Other values (3) 1001
7.7%
Distinct4
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size68.5 KiB
2023-12-09T21:02:58.830037image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.977
Min length5

Characters and Unicode

Total characters12977
Distinct characters20
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique3 ?
Unique (%)0.3%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 997
49.9%
available 997
49.9%
230.33 1
 
0.1%
53.23 1
 
0.1%
19.48 1
 
0.1%
2023-12-09T21:02:59.129716image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1994
15.4%
l 1994
15.4%
N 997
7.7%
o 997
7.7%
b 997
7.7%
i 997
7.7%
e 997
7.7%
v 997
7.7%
A 997
7.7%
997
7.7%
Other values (10) 1013
7.8%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9970
76.8%
Uppercase Letter 1994
 
15.4%
Space Separator 997
 
7.7%
Decimal Number 13
 
0.1%
Other Punctuation 3
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 1994
20.0%
l 1994
20.0%
o 997
10.0%
b 997
10.0%
i 997
10.0%
e 997
10.0%
v 997
10.0%
t 997
10.0%
Decimal Number
ValueCountFrequency (%)
3 5
38.5%
2 2
 
15.4%
0 1
 
7.7%
5 1
 
7.7%
1 1
 
7.7%
9 1
 
7.7%
4 1
 
7.7%
8 1
 
7.7%
Uppercase Letter
ValueCountFrequency (%)
N 997
50.0%
A 997
50.0%
Space Separator
ValueCountFrequency (%)
997
100.0%
Other Punctuation
ValueCountFrequency (%)
. 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11964
92.2%
Common 1013
 
7.8%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 1994
16.7%
l 1994
16.7%
N 997
8.3%
o 997
8.3%
b 997
8.3%
i 997
8.3%
e 997
8.3%
v 997
8.3%
A 997
8.3%
t 997
8.3%
Common
ValueCountFrequency (%)
997
98.4%
3 5
 
0.5%
. 3
 
0.3%
2 2
 
0.2%
0 1
 
0.1%
5 1
 
0.1%
1 1
 
0.1%
9 1
 
0.1%
4 1
 
0.1%
8 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12977
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1994
15.4%
l 1994
15.4%
N 997
7.7%
o 997
7.7%
b 997
7.7%
i 997
7.7%
e 997
7.7%
v 997
7.7%
A 997
7.7%
997
7.7%
Other values (10) 1013
7.8%
Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size68.5 KiB
2023-12-09T21:02:59.302782image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.97
Min length3

Characters and Unicode

Total characters12970
Distinct characters13
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 997
49.9%
available 997
49.9%
100 3
 
0.2%
2023-12-09T21:02:59.582971image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1994
15.4%
l 1994
15.4%
N 997
7.7%
o 997
7.7%
t 997
7.7%
997
7.7%
A 997
7.7%
v 997
7.7%
i 997
7.7%
b 997
7.7%
Other values (3) 1006
7.8%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9970
76.9%
Uppercase Letter 1994
 
15.4%
Space Separator 997
 
7.7%
Decimal Number 9
 
0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 1994
20.0%
l 1994
20.0%
o 997
10.0%
t 997
10.0%
v 997
10.0%
i 997
10.0%
b 997
10.0%
e 997
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 997
50.0%
A 997
50.0%
Decimal Number
ValueCountFrequency (%)
0 6
66.7%
1 3
33.3%
Space Separator
ValueCountFrequency (%)
997
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11964
92.2%
Common 1006
 
7.8%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 1994
16.7%
l 1994
16.7%
N 997
8.3%
o 997
8.3%
t 997
8.3%
A 997
8.3%
v 997
8.3%
i 997
8.3%
b 997
8.3%
e 997
8.3%
Common
ValueCountFrequency (%)
997
99.1%
0 6
 
0.6%
1 3
 
0.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12970
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1994
15.4%
l 1994
15.4%
N 997
7.7%
o 997
7.7%
t 997
7.7%
997
7.7%
A 997
7.7%
v 997
7.7%
i 997
7.7%
b 997
7.7%
Other values (3) 1006
7.8%
Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size68.5 KiB
2023-12-09T21:02:59.757751image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.97
Min length3

Characters and Unicode

Total characters12970
Distinct characters13
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 997
49.9%
available 997
49.9%
100 3
 
0.2%
2023-12-09T21:03:00.039113image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1994
15.4%
l 1994
15.4%
N 997
7.7%
o 997
7.7%
t 997
7.7%
997
7.7%
A 997
7.7%
v 997
7.7%
i 997
7.7%
b 997
7.7%
Other values (3) 1006
7.8%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9970
76.9%
Uppercase Letter 1994
 
15.4%
Space Separator 997
 
7.7%
Decimal Number 9
 
0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 1994
20.0%
l 1994
20.0%
o 997
10.0%
t 997
10.0%
v 997
10.0%
i 997
10.0%
b 997
10.0%
e 997
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 997
50.0%
A 997
50.0%
Decimal Number
ValueCountFrequency (%)
0 6
66.7%
1 3
33.3%
Space Separator
ValueCountFrequency (%)
997
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11964
92.2%
Common 1006
 
7.8%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 1994
16.7%
l 1994
16.7%
N 997
8.3%
o 997
8.3%
t 997
8.3%
A 997
8.3%
v 997
8.3%
i 997
8.3%
b 997
8.3%
e 997
8.3%
Common
ValueCountFrequency (%)
997
99.1%
0 6
 
0.6%
1 3
 
0.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12970
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1994
15.4%
l 1994
15.4%
N 997
7.7%
o 997
7.7%
t 997
7.7%
997
7.7%
A 997
7.7%
v 997
7.7%
i 997
7.7%
b 997
7.7%
Other values (3) 1006
7.8%
Distinct4
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size68.5 KiB
2023-12-09T21:03:00.210530image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.967
Min length2

Characters and Unicode

Total characters12967
Distinct characters15
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique3 ?
Unique (%)0.3%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 997
49.9%
available 997
49.9%
76 1
 
0.1%
60 1
 
0.1%
55 1
 
0.1%
2023-12-09T21:03:00.499838image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1994
15.4%
l 1994
15.4%
N 997
7.7%
o 997
7.7%
t 997
7.7%
997
7.7%
A 997
7.7%
v 997
7.7%
i 997
7.7%
b 997
7.7%
Other values (5) 1003
7.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9970
76.9%
Uppercase Letter 1994
 
15.4%
Space Separator 997
 
7.7%
Decimal Number 6
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 1994
20.0%
l 1994
20.0%
o 997
10.0%
t 997
10.0%
v 997
10.0%
i 997
10.0%
b 997
10.0%
e 997
10.0%
Decimal Number
ValueCountFrequency (%)
6 2
33.3%
5 2
33.3%
7 1
16.7%
0 1
16.7%
Uppercase Letter
ValueCountFrequency (%)
N 997
50.0%
A 997
50.0%
Space Separator
ValueCountFrequency (%)
997
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11964
92.3%
Common 1003
 
7.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 1994
16.7%
l 1994
16.7%
N 997
8.3%
o 997
8.3%
t 997
8.3%
A 997
8.3%
v 997
8.3%
i 997
8.3%
b 997
8.3%
e 997
8.3%
Common
ValueCountFrequency (%)
997
99.4%
6 2
 
0.2%
5 2
 
0.2%
7 1
 
0.1%
0 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12967
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1994
15.4%
l 1994
15.4%
N 997
7.7%
o 997
7.7%
t 997
7.7%
997
7.7%
A 997
7.7%
v 997
7.7%
i 997
7.7%
b 997
7.7%
Other values (5) 1003
7.7%
Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size68.5 KiB
2023-12-09T21:03:00.666408image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length13
Min length13

Characters and Unicode

Total characters13000
Distinct characters11
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 1000
50.0%
available 1000
50.0%
2023-12-09T21:03:00.939172image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 2000
15.4%
l 2000
15.4%
N 1000
7.7%
o 1000
7.7%
t 1000
7.7%
1000
7.7%
A 1000
7.7%
v 1000
7.7%
i 1000
7.7%
b 1000
7.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 10000
76.9%
Uppercase Letter 2000
 
15.4%
Space Separator 1000
 
7.7%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 2000
20.0%
l 2000
20.0%
o 1000
10.0%
t 1000
10.0%
v 1000
10.0%
i 1000
10.0%
b 1000
10.0%
e 1000
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 1000
50.0%
A 1000
50.0%
Space Separator
ValueCountFrequency (%)
1000
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 12000
92.3%
Common 1000
 
7.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 2000
16.7%
l 2000
16.7%
N 1000
8.3%
o 1000
8.3%
t 1000
8.3%
A 1000
8.3%
v 1000
8.3%
i 1000
8.3%
b 1000
8.3%
e 1000
8.3%
Common
ValueCountFrequency (%)
1000
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 13000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 2000
15.4%
l 2000
15.4%
N 1000
7.7%
o 1000
7.7%
t 1000
7.7%
1000
7.7%
A 1000
7.7%
v 1000
7.7%
i 1000
7.7%
b 1000
7.7%
Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size68.5 KiB
2023-12-09T21:03:01.107182image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.993
Min length6

Characters and Unicode

Total characters12993
Distinct characters16
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)0.1%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 999
50.0%
available 999
50.0%
157539 1
 
0.1%
2023-12-09T21:03:01.408470image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1998
15.4%
l 1998
15.4%
N 999
7.7%
o 999
7.7%
t 999
7.7%
999
7.7%
A 999
7.7%
v 999
7.7%
i 999
7.7%
b 999
7.7%
Other values (6) 1005
7.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9990
76.9%
Uppercase Letter 1998
 
15.4%
Space Separator 999
 
7.7%
Decimal Number 6
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 1998
20.0%
l 1998
20.0%
o 999
10.0%
t 999
10.0%
v 999
10.0%
i 999
10.0%
b 999
10.0%
e 999
10.0%
Decimal Number
ValueCountFrequency (%)
5 2
33.3%
1 1
16.7%
7 1
16.7%
3 1
16.7%
9 1
16.7%
Uppercase Letter
ValueCountFrequency (%)
N 999
50.0%
A 999
50.0%
Space Separator
ValueCountFrequency (%)
999
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11988
92.3%
Common 1005
 
7.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 1998
16.7%
l 1998
16.7%
N 999
8.3%
o 999
8.3%
t 999
8.3%
A 999
8.3%
v 999
8.3%
i 999
8.3%
b 999
8.3%
e 999
8.3%
Common
ValueCountFrequency (%)
999
99.4%
5 2
 
0.2%
1 1
 
0.1%
7 1
 
0.1%
3 1
 
0.1%
9 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12993
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1998
15.4%
l 1998
15.4%
N 999
7.7%
o 999
7.7%
t 999
7.7%
999
7.7%
A 999
7.7%
v 999
7.7%
i 999
7.7%
b 999
7.7%
Other values (6) 1005
7.7%
Distinct6
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size68.5 KiB
2023-12-09T21:03:01.587916image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.966
Min length6

Characters and Unicode

Total characters12966
Distinct characters21
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique5 ?
Unique (%)0.5%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 995
49.9%
available 995
49.9%
130250 1
 
0.1%
296302 1
 
0.1%
1145806 1
 
0.1%
208520 1
 
0.1%
904570 1
 
0.1%
2023-12-09T21:03:01.893217image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1990
15.3%
l 1990
15.3%
N 995
7.7%
o 995
7.7%
b 995
7.7%
i 995
7.7%
e 995
7.7%
v 995
7.7%
A 995
7.7%
995
7.7%
Other values (11) 1026
7.9%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9950
76.7%
Uppercase Letter 1990
 
15.3%
Space Separator 995
 
7.7%
Decimal Number 31
 
0.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 8
25.8%
2 5
16.1%
5 4
12.9%
1 3
 
9.7%
3 2
 
6.5%
9 2
 
6.5%
6 2
 
6.5%
4 2
 
6.5%
8 2
 
6.5%
7 1
 
3.2%
Lowercase Letter
ValueCountFrequency (%)
a 1990
20.0%
l 1990
20.0%
o 995
10.0%
b 995
10.0%
i 995
10.0%
e 995
10.0%
v 995
10.0%
t 995
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 995
50.0%
A 995
50.0%
Space Separator
ValueCountFrequency (%)
995
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11940
92.1%
Common 1026
 
7.9%

Most frequent character per script

Common
ValueCountFrequency (%)
995
97.0%
0 8
 
0.8%
2 5
 
0.5%
5 4
 
0.4%
1 3
 
0.3%
3 2
 
0.2%
9 2
 
0.2%
6 2
 
0.2%
4 2
 
0.2%
8 2
 
0.2%
Latin
ValueCountFrequency (%)
a 1990
16.7%
l 1990
16.7%
N 995
8.3%
o 995
8.3%
b 995
8.3%
i 995
8.3%
e 995
8.3%
v 995
8.3%
A 995
8.3%
t 995
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12966
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1990
15.3%
l 1990
15.3%
N 995
7.7%
o 995
7.7%
b 995
7.7%
i 995
7.7%
e 995
7.7%
v 995
7.7%
A 995
7.7%
995
7.7%
Other values (11) 1026
7.9%
Distinct6
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size68.4 KiB
2023-12-09T21:03:02.072973image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.952
Min length1

Characters and Unicode

Total characters12952
Distinct characters21
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique5 ?
Unique (%)0.5%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 995
49.9%
available 995
49.9%
3425 1
 
0.1%
1925 1
 
0.1%
9825 1
 
0.1%
4670 1
 
0.1%
0 1
 
0.1%
2023-12-09T21:03:02.375144image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1990
15.4%
l 1990
15.4%
N 995
7.7%
o 995
7.7%
b 995
7.7%
i 995
7.7%
e 995
7.7%
v 995
7.7%
A 995
7.7%
995
7.7%
Other values (11) 1012
7.8%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9950
76.8%
Uppercase Letter 1990
 
15.4%
Space Separator 995
 
7.7%
Decimal Number 17
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 3
17.6%
5 3
17.6%
4 2
11.8%
9 2
11.8%
0 2
11.8%
3 1
 
5.9%
1 1
 
5.9%
8 1
 
5.9%
6 1
 
5.9%
7 1
 
5.9%
Lowercase Letter
ValueCountFrequency (%)
a 1990
20.0%
l 1990
20.0%
o 995
10.0%
b 995
10.0%
i 995
10.0%
e 995
10.0%
v 995
10.0%
t 995
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 995
50.0%
A 995
50.0%
Space Separator
ValueCountFrequency (%)
995
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11940
92.2%
Common 1012
 
7.8%

Most frequent character per script

Common
ValueCountFrequency (%)
995
98.3%
2 3
 
0.3%
5 3
 
0.3%
4 2
 
0.2%
9 2
 
0.2%
0 2
 
0.2%
3 1
 
0.1%
1 1
 
0.1%
8 1
 
0.1%
6 1
 
0.1%
Latin
ValueCountFrequency (%)
a 1990
16.7%
l 1990
16.7%
N 995
8.3%
o 995
8.3%
b 995
8.3%
i 995
8.3%
e 995
8.3%
v 995
8.3%
A 995
8.3%
t 995
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12952
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1990
15.4%
l 1990
15.4%
N 995
7.7%
o 995
7.7%
b 995
7.7%
i 995
7.7%
e 995
7.7%
v 995
7.7%
A 995
7.7%
995
7.7%
Other values (11) 1012
7.8%
Distinct594
Distinct (%)59.4%
Missing0
Missing (%)0.0%
Memory size62.2 KiB
2023-12-09T21:03:02.777924image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length6
Mean length6.589
Min length4

Characters and Unicode

Total characters6589
Distinct characters22
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique441 ?
Unique (%)44.1%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 133
 
11.7%
available 133
 
11.7%
110400 8
 
0.7%
96000 8
 
0.7%
93600 8
 
0.7%
106800 7
 
0.6%
109200 6
 
0.5%
122400 6
 
0.5%
108000 6
 
0.5%
147600 6
 
0.5%
Other values (585) 812
71.7%
2023-12-09T21:03:03.319405image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 1415
21.5%
1 705
10.7%
2 444
 
6.7%
8 407
 
6.2%
6 396
 
6.0%
5 384
 
5.8%
4 311
 
4.7%
7 271
 
4.1%
a 266
 
4.0%
l 266
 
4.0%
Other values (12) 1724
26.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 4855
73.7%
Lowercase Letter 1330
 
20.2%
Uppercase Letter 266
 
4.0%
Space Separator 133
 
2.0%
Other Punctuation 5
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1415
29.1%
1 705
14.5%
2 444
 
9.1%
8 407
 
8.4%
6 396
 
8.2%
5 384
 
7.9%
4 311
 
6.4%
7 271
 
5.6%
3 262
 
5.4%
9 260
 
5.4%
Lowercase Letter
ValueCountFrequency (%)
a 266
20.0%
l 266
20.0%
o 133
10.0%
e 133
10.0%
b 133
10.0%
i 133
10.0%
v 133
10.0%
t 133
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 133
50.0%
A 133
50.0%
Space Separator
ValueCountFrequency (%)
133
100.0%
Other Punctuation
ValueCountFrequency (%)
. 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 4993
75.8%
Latin 1596
 
24.2%

Most frequent character per script

Common
ValueCountFrequency (%)
0 1415
28.3%
1 705
14.1%
2 444
 
8.9%
8 407
 
8.2%
6 396
 
7.9%
5 384
 
7.7%
4 311
 
6.2%
7 271
 
5.4%
3 262
 
5.2%
9 260
 
5.2%
Other values (2) 138
 
2.8%
Latin
ValueCountFrequency (%)
a 266
16.7%
l 266
16.7%
N 133
8.3%
o 133
8.3%
e 133
8.3%
b 133
8.3%
i 133
8.3%
v 133
8.3%
A 133
8.3%
t 133
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6589
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 1415
21.5%
1 705
10.7%
2 444
 
6.7%
8 407
 
6.2%
6 396
 
6.0%
5 384
 
5.8%
4 311
 
4.7%
7 271
 
4.1%
a 266
 
4.0%
l 266
 
4.0%
Other values (12) 1724
26.2%
Distinct3
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size68.5 KiB
2023-12-09T21:03:03.519427image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.983
Min length4

Characters and Unicode

Total characters12983
Distinct characters17
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2 ?
Unique (%)0.2%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 998
49.9%
available 998
49.9%
15120 1
 
0.1%
4702 1
 
0.1%
2023-12-09T21:03:03.803045image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
l 1996
15.4%
a 1996
15.4%
e 998
7.7%
b 998
7.7%
o 998
7.7%
i 998
7.7%
N 998
7.7%
v 998
7.7%
A 998
7.7%
998
7.7%
Other values (7) 1007
7.8%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9980
76.9%
Uppercase Letter 1996
 
15.4%
Space Separator 998
 
7.7%
Decimal Number 9
 
0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
l 1996
20.0%
a 1996
20.0%
e 998
10.0%
b 998
10.0%
o 998
10.0%
i 998
10.0%
v 998
10.0%
t 998
10.0%
Decimal Number
ValueCountFrequency (%)
1 2
22.2%
2 2
22.2%
0 2
22.2%
5 1
11.1%
4 1
11.1%
7 1
11.1%
Uppercase Letter
ValueCountFrequency (%)
N 998
50.0%
A 998
50.0%
Space Separator
ValueCountFrequency (%)
998
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11976
92.2%
Common 1007
 
7.8%

Most frequent character per script

Latin
ValueCountFrequency (%)
l 1996
16.7%
a 1996
16.7%
e 998
8.3%
b 998
8.3%
o 998
8.3%
i 998
8.3%
N 998
8.3%
v 998
8.3%
A 998
8.3%
t 998
8.3%
Common
ValueCountFrequency (%)
998
99.1%
1 2
 
0.2%
2 2
 
0.2%
0 2
 
0.2%
5 1
 
0.1%
4 1
 
0.1%
7 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12983
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
l 1996
15.4%
a 1996
15.4%
e 998
7.7%
b 998
7.7%
o 998
7.7%
i 998
7.7%
N 998
7.7%
v 998
7.7%
A 998
7.7%
998
7.7%
Other values (7) 1007
7.8%
Distinct3
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size68.5 KiB
2023-12-09T21:03:03.976186image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.986
Min length6

Characters and Unicode

Total characters12986
Distinct characters20
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2 ?
Unique (%)0.2%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 998
49.9%
available 998
49.9%
685314 1
 
0.1%
287202 1
 
0.1%
2023-12-09T21:03:04.278440image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1996
15.4%
l 1996
15.4%
N 998
7.7%
o 998
7.7%
b 998
7.7%
i 998
7.7%
e 998
7.7%
v 998
7.7%
A 998
7.7%
998
7.7%
Other values (10) 1010
7.8%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9980
76.9%
Uppercase Letter 1996
 
15.4%
Space Separator 998
 
7.7%
Decimal Number 12
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 3
25.0%
8 2
16.7%
6 1
 
8.3%
5 1
 
8.3%
3 1
 
8.3%
1 1
 
8.3%
4 1
 
8.3%
7 1
 
8.3%
0 1
 
8.3%
Lowercase Letter
ValueCountFrequency (%)
a 1996
20.0%
l 1996
20.0%
o 998
10.0%
b 998
10.0%
i 998
10.0%
e 998
10.0%
v 998
10.0%
t 998
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 998
50.0%
A 998
50.0%
Space Separator
ValueCountFrequency (%)
998
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11976
92.2%
Common 1010
 
7.8%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 1996
16.7%
l 1996
16.7%
N 998
8.3%
o 998
8.3%
b 998
8.3%
i 998
8.3%
e 998
8.3%
v 998
8.3%
A 998
8.3%
t 998
8.3%
Common
ValueCountFrequency (%)
998
98.8%
2 3
 
0.3%
8 2
 
0.2%
6 1
 
0.1%
5 1
 
0.1%
3 1
 
0.1%
1 1
 
0.1%
4 1
 
0.1%
7 1
 
0.1%
0 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12986
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1996
15.4%
l 1996
15.4%
N 998
7.7%
o 998
7.7%
b 998
7.7%
i 998
7.7%
e 998
7.7%
v 998
7.7%
A 998
7.7%
998
7.7%
Other values (10) 1010
7.8%
Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size68.5 KiB
2023-12-09T21:03:04.445103image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length13
Min length13

Characters and Unicode

Total characters13000
Distinct characters11
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 1000
50.0%
available 1000
50.0%
2023-12-09T21:03:04.721844image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 2000
15.4%
l 2000
15.4%
N 1000
7.7%
o 1000
7.7%
t 1000
7.7%
1000
7.7%
A 1000
7.7%
v 1000
7.7%
i 1000
7.7%
b 1000
7.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 10000
76.9%
Uppercase Letter 2000
 
15.4%
Space Separator 1000
 
7.7%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 2000
20.0%
l 2000
20.0%
o 1000
10.0%
t 1000
10.0%
v 1000
10.0%
i 1000
10.0%
b 1000
10.0%
e 1000
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 1000
50.0%
A 1000
50.0%
Space Separator
ValueCountFrequency (%)
1000
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 12000
92.3%
Common 1000
 
7.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 2000
16.7%
l 2000
16.7%
N 1000
8.3%
o 1000
8.3%
t 1000
8.3%
A 1000
8.3%
v 1000
8.3%
i 1000
8.3%
b 1000
8.3%
e 1000
8.3%
Common
ValueCountFrequency (%)
1000
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 13000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 2000
15.4%
l 2000
15.4%
N 1000
7.7%
o 1000
7.7%
t 1000
7.7%
1000
7.7%
A 1000
7.7%
v 1000
7.7%
i 1000
7.7%
b 1000
7.7%
Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size68.5 KiB
2023-12-09T21:03:04.890624image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length13
Min length13

Characters and Unicode

Total characters13000
Distinct characters11
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 1000
50.0%
available 1000
50.0%
2023-12-09T21:03:05.177344image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 2000
15.4%
l 2000
15.4%
N 1000
7.7%
o 1000
7.7%
t 1000
7.7%
1000
7.7%
A 1000
7.7%
v 1000
7.7%
i 1000
7.7%
b 1000
7.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 10000
76.9%
Uppercase Letter 2000
 
15.4%
Space Separator 1000
 
7.7%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 2000
20.0%
l 2000
20.0%
o 1000
10.0%
t 1000
10.0%
v 1000
10.0%
i 1000
10.0%
b 1000
10.0%
e 1000
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 1000
50.0%
A 1000
50.0%
Space Separator
ValueCountFrequency (%)
1000
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 12000
92.3%
Common 1000
 
7.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 2000
16.7%
l 2000
16.7%
N 1000
8.3%
o 1000
8.3%
t 1000
8.3%
A 1000
8.3%
v 1000
8.3%
i 1000
8.3%
b 1000
8.3%
e 1000
8.3%
Common
ValueCountFrequency (%)
1000
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 13000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 2000
15.4%
l 2000
15.4%
N 1000
7.7%
o 1000
7.7%
t 1000
7.7%
1000
7.7%
A 1000
7.7%
v 1000
7.7%
i 1000
7.7%
b 1000
7.7%
Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size68.5 KiB
2023-12-09T21:03:05.343282image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length13
Min length13

Characters and Unicode

Total characters13000
Distinct characters11
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 1000
50.0%
available 1000
50.0%
2023-12-09T21:03:05.622450image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 2000
15.4%
l 2000
15.4%
N 1000
7.7%
o 1000
7.7%
t 1000
7.7%
1000
7.7%
A 1000
7.7%
v 1000
7.7%
i 1000
7.7%
b 1000
7.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 10000
76.9%
Uppercase Letter 2000
 
15.4%
Space Separator 1000
 
7.7%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 2000
20.0%
l 2000
20.0%
o 1000
10.0%
t 1000
10.0%
v 1000
10.0%
i 1000
10.0%
b 1000
10.0%
e 1000
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 1000
50.0%
A 1000
50.0%
Space Separator
ValueCountFrequency (%)
1000
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 12000
92.3%
Common 1000
 
7.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 2000
16.7%
l 2000
16.7%
N 1000
8.3%
o 1000
8.3%
t 1000
8.3%
A 1000
8.3%
v 1000
8.3%
i 1000
8.3%
b 1000
8.3%
e 1000
8.3%
Common
ValueCountFrequency (%)
1000
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 13000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 2000
15.4%
l 2000
15.4%
N 1000
7.7%
o 1000
7.7%
t 1000
7.7%
1000
7.7%
A 1000
7.7%
v 1000
7.7%
i 1000
7.7%
b 1000
7.7%
Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size68.5 KiB
2023-12-09T21:03:05.790123image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.978
Min length2

Characters and Unicode

Total characters12978
Distinct characters11
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 998
49.9%
available 998
49.9%
no 2
 
0.1%
2023-12-09T21:03:07.983719image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1996
15.4%
l 1996
15.4%
N 1000
7.7%
o 1000
7.7%
t 998
7.7%
998
7.7%
A 998
7.7%
v 998
7.7%
i 998
7.7%
b 998
7.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9982
76.9%
Uppercase Letter 1998
 
15.4%
Space Separator 998
 
7.7%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 1996
20.0%
l 1996
20.0%
o 1000
10.0%
t 998
10.0%
v 998
10.0%
i 998
10.0%
b 998
10.0%
e 998
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 1000
50.1%
A 998
49.9%
Space Separator
ValueCountFrequency (%)
998
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11980
92.3%
Common 998
 
7.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 1996
16.7%
l 1996
16.7%
N 1000
8.3%
o 1000
8.3%
t 998
8.3%
A 998
8.3%
v 998
8.3%
i 998
8.3%
b 998
8.3%
e 998
8.3%
Common
ValueCountFrequency (%)
998
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12978
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1996
15.4%
l 1996
15.4%
N 1000
7.7%
o 1000
7.7%
t 998
7.7%
998
7.7%
A 998
7.7%
v 998
7.7%
i 998
7.7%
b 998
7.7%
Distinct4
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size68.5 KiB
2023-12-09T21:03:08.161372image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.979
Min length6

Characters and Unicode

Total characters12979
Distinct characters20
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique3 ?
Unique (%)0.3%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 997
49.9%
available 997
49.9%
247991 1
 
0.1%
814289 1
 
0.1%
375698 1
 
0.1%
2023-12-09T21:03:08.466789image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1994
15.4%
l 1994
15.4%
N 997
7.7%
o 997
7.7%
b 997
7.7%
i 997
7.7%
e 997
7.7%
v 997
7.7%
A 997
7.7%
997
7.7%
Other values (10) 1015
7.8%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9970
76.8%
Uppercase Letter 1994
 
15.4%
Space Separator 997
 
7.7%
Decimal Number 18
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
9 4
22.2%
8 3
16.7%
2 2
11.1%
4 2
11.1%
7 2
11.1%
1 2
11.1%
3 1
 
5.6%
5 1
 
5.6%
6 1
 
5.6%
Lowercase Letter
ValueCountFrequency (%)
a 1994
20.0%
l 1994
20.0%
o 997
10.0%
b 997
10.0%
i 997
10.0%
e 997
10.0%
v 997
10.0%
t 997
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 997
50.0%
A 997
50.0%
Space Separator
ValueCountFrequency (%)
997
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11964
92.2%
Common 1015
 
7.8%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 1994
16.7%
l 1994
16.7%
N 997
8.3%
o 997
8.3%
b 997
8.3%
i 997
8.3%
e 997
8.3%
v 997
8.3%
A 997
8.3%
t 997
8.3%
Common
ValueCountFrequency (%)
997
98.2%
9 4
 
0.4%
8 3
 
0.3%
2 2
 
0.2%
4 2
 
0.2%
7 2
 
0.2%
1 2
 
0.2%
3 1
 
0.1%
5 1
 
0.1%
6 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12979
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1994
15.4%
l 1994
15.4%
N 997
7.7%
o 997
7.7%
b 997
7.7%
i 997
7.7%
e 997
7.7%
v 997
7.7%
A 997
7.7%
997
7.7%
Other values (10) 1015
7.8%
Distinct4
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size68.5 KiB
2023-12-09T21:03:08.640308image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.971
Min length3

Characters and Unicode

Total characters12971
Distinct characters17
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique3 ?
Unique (%)0.3%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 997
49.9%
available 997
49.9%
1700 1
 
0.1%
264 1
 
0.1%
600 1
 
0.1%
2023-12-09T21:03:08.928605image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
l 1994
15.4%
a 1994
15.4%
e 997
7.7%
b 997
7.7%
o 997
7.7%
i 997
7.7%
N 997
7.7%
v 997
7.7%
A 997
7.7%
997
7.7%
Other values (7) 1007
7.8%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9970
76.9%
Uppercase Letter 1994
 
15.4%
Space Separator 997
 
7.7%
Decimal Number 10
 
0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
l 1994
20.0%
a 1994
20.0%
e 997
10.0%
b 997
10.0%
o 997
10.0%
i 997
10.0%
v 997
10.0%
t 997
10.0%
Decimal Number
ValueCountFrequency (%)
0 4
40.0%
6 2
20.0%
1 1
 
10.0%
7 1
 
10.0%
2 1
 
10.0%
4 1
 
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 997
50.0%
A 997
50.0%
Space Separator
ValueCountFrequency (%)
997
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11964
92.2%
Common 1007
 
7.8%

Most frequent character per script

Latin
ValueCountFrequency (%)
l 1994
16.7%
a 1994
16.7%
e 997
8.3%
b 997
8.3%
o 997
8.3%
i 997
8.3%
N 997
8.3%
v 997
8.3%
A 997
8.3%
t 997
8.3%
Common
ValueCountFrequency (%)
997
99.0%
0 4
 
0.4%
6 2
 
0.2%
1 1
 
0.1%
7 1
 
0.1%
2 1
 
0.1%
4 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12971
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
l 1994
15.4%
a 1994
15.4%
e 997
7.7%
b 997
7.7%
o 997
7.7%
i 997
7.7%
N 997
7.7%
v 997
7.7%
A 997
7.7%
997
7.7%
Other values (7) 1007
7.8%
Distinct4
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size68.5 KiB
2023-12-09T21:03:09.104663image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.982
Min length7

Characters and Unicode

Total characters12982
Distinct characters22
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique3 ?
Unique (%)0.3%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 997
49.9%
available 997
49.9%
1.06456 1
 
0.1%
1.59703 1
 
0.1%
2.08771 1
 
0.1%
2023-12-09T21:03:09.408844image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1994
15.4%
l 1994
15.4%
N 997
7.7%
t 997
7.7%
997
7.7%
A 997
7.7%
v 997
7.7%
i 997
7.7%
b 997
7.7%
e 997
7.7%
Other values (12) 1018
7.8%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9970
76.8%
Uppercase Letter 1994
 
15.4%
Space Separator 997
 
7.7%
Decimal Number 18
 
0.1%
Other Punctuation 3
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 3
16.7%
7 3
16.7%
1 3
16.7%
6 2
11.1%
5 2
11.1%
4 1
 
5.6%
9 1
 
5.6%
3 1
 
5.6%
2 1
 
5.6%
8 1
 
5.6%
Lowercase Letter
ValueCountFrequency (%)
a 1994
20.0%
l 1994
20.0%
t 997
10.0%
v 997
10.0%
i 997
10.0%
b 997
10.0%
e 997
10.0%
o 997
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 997
50.0%
A 997
50.0%
Space Separator
ValueCountFrequency (%)
997
100.0%
Other Punctuation
ValueCountFrequency (%)
. 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11964
92.2%
Common 1018
 
7.8%

Most frequent character per script

Common
ValueCountFrequency (%)
997
97.9%
0 3
 
0.3%
7 3
 
0.3%
1 3
 
0.3%
. 3
 
0.3%
6 2
 
0.2%
5 2
 
0.2%
4 1
 
0.1%
9 1
 
0.1%
3 1
 
0.1%
Other values (2) 2
 
0.2%
Latin
ValueCountFrequency (%)
a 1994
16.7%
l 1994
16.7%
N 997
8.3%
t 997
8.3%
A 997
8.3%
v 997
8.3%
i 997
8.3%
b 997
8.3%
e 997
8.3%
o 997
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12982
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1994
15.4%
l 1994
15.4%
N 997
7.7%
t 997
7.7%
997
7.7%
A 997
7.7%
v 997
7.7%
i 997
7.7%
b 997
7.7%
e 997
7.7%
Other values (12) 1018
7.8%
Distinct4
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size68.5 KiB
2023-12-09T21:03:09.585162image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.967
Min length1

Characters and Unicode

Total characters12967
Distinct characters15
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique3 ?
Unique (%)0.3%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 997
49.9%
available 997
49.9%
105 1
 
0.1%
20 1
 
0.1%
0 1
 
0.1%
2023-12-09T21:03:09.879432image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1994
15.4%
l 1994
15.4%
N 997
7.7%
o 997
7.7%
t 997
7.7%
997
7.7%
A 997
7.7%
v 997
7.7%
i 997
7.7%
b 997
7.7%
Other values (5) 1003
7.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9970
76.9%
Uppercase Letter 1994
 
15.4%
Space Separator 997
 
7.7%
Decimal Number 6
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 1994
20.0%
l 1994
20.0%
o 997
10.0%
t 997
10.0%
v 997
10.0%
i 997
10.0%
b 997
10.0%
e 997
10.0%
Decimal Number
ValueCountFrequency (%)
0 3
50.0%
1 1
 
16.7%
5 1
 
16.7%
2 1
 
16.7%
Uppercase Letter
ValueCountFrequency (%)
N 997
50.0%
A 997
50.0%
Space Separator
ValueCountFrequency (%)
997
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11964
92.3%
Common 1003
 
7.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 1994
16.7%
l 1994
16.7%
N 997
8.3%
o 997
8.3%
t 997
8.3%
A 997
8.3%
v 997
8.3%
i 997
8.3%
b 997
8.3%
e 997
8.3%
Common
ValueCountFrequency (%)
997
99.4%
0 3
 
0.3%
1 1
 
0.1%
5 1
 
0.1%
2 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12967
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1994
15.4%
l 1994
15.4%
N 997
7.7%
o 997
7.7%
t 997
7.7%
997
7.7%
A 997
7.7%
v 997
7.7%
i 997
7.7%
b 997
7.7%
Other values (5) 1003
7.7%
Distinct4
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size68.5 KiB
2023-12-09T21:03:10.057165image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.966
Min length1

Characters and Unicode

Total characters12966
Distinct characters16
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique3 ?
Unique (%)0.3%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 997
49.9%
available 997
49.9%
78 1
 
0.1%
36 1
 
0.1%
0 1
 
0.1%
2023-12-09T21:03:10.349368image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1994
15.4%
l 1994
15.4%
N 997
7.7%
o 997
7.7%
t 997
7.7%
997
7.7%
A 997
7.7%
v 997
7.7%
i 997
7.7%
b 997
7.7%
Other values (6) 1002
7.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9970
76.9%
Uppercase Letter 1994
 
15.4%
Space Separator 997
 
7.7%
Decimal Number 5
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 1994
20.0%
l 1994
20.0%
o 997
10.0%
t 997
10.0%
v 997
10.0%
i 997
10.0%
b 997
10.0%
e 997
10.0%
Decimal Number
ValueCountFrequency (%)
7 1
20.0%
8 1
20.0%
3 1
20.0%
6 1
20.0%
0 1
20.0%
Uppercase Letter
ValueCountFrequency (%)
N 997
50.0%
A 997
50.0%
Space Separator
ValueCountFrequency (%)
997
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11964
92.3%
Common 1002
 
7.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 1994
16.7%
l 1994
16.7%
N 997
8.3%
o 997
8.3%
t 997
8.3%
A 997
8.3%
v 997
8.3%
i 997
8.3%
b 997
8.3%
e 997
8.3%
Common
ValueCountFrequency (%)
997
99.5%
7 1
 
0.1%
8 1
 
0.1%
3 1
 
0.1%
6 1
 
0.1%
0 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12966
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1994
15.4%
l 1994
15.4%
N 997
7.7%
o 997
7.7%
t 997
7.7%
997
7.7%
A 997
7.7%
v 997
7.7%
i 997
7.7%
b 997
7.7%
Other values (6) 1002
7.7%
Distinct4
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size68.5 KiB
2023-12-09T21:03:10.522453image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.97
Min length3

Characters and Unicode

Total characters12970
Distinct characters18
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique3 ?
Unique (%)0.3%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 997
49.9%
available 997
49.9%
921 1
 
0.1%
105 1
 
0.1%
340 1
 
0.1%
2023-12-09T21:03:10.810619image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1994
15.4%
l 1994
15.4%
N 997
7.7%
e 997
7.7%
o 997
7.7%
i 997
7.7%
b 997
7.7%
v 997
7.7%
A 997
7.7%
997
7.7%
Other values (8) 1006
7.8%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9970
76.9%
Uppercase Letter 1994
 
15.4%
Space Separator 997
 
7.7%
Decimal Number 9
 
0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 1994
20.0%
l 1994
20.0%
e 997
10.0%
o 997
10.0%
i 997
10.0%
b 997
10.0%
v 997
10.0%
t 997
10.0%
Decimal Number
ValueCountFrequency (%)
1 2
22.2%
0 2
22.2%
9 1
11.1%
2 1
11.1%
5 1
11.1%
3 1
11.1%
4 1
11.1%
Uppercase Letter
ValueCountFrequency (%)
N 997
50.0%
A 997
50.0%
Space Separator
ValueCountFrequency (%)
997
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11964
92.2%
Common 1006
 
7.8%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 1994
16.7%
l 1994
16.7%
N 997
8.3%
e 997
8.3%
o 997
8.3%
i 997
8.3%
b 997
8.3%
v 997
8.3%
A 997
8.3%
t 997
8.3%
Common
ValueCountFrequency (%)
997
99.1%
1 2
 
0.2%
0 2
 
0.2%
9 1
 
0.1%
2 1
 
0.1%
5 1
 
0.1%
3 1
 
0.1%
4 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12970
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1994
15.4%
l 1994
15.4%
N 997
7.7%
e 997
7.7%
o 997
7.7%
i 997
7.7%
b 997
7.7%
v 997
7.7%
A 997
7.7%
997
7.7%
Other values (8) 1006
7.8%
Distinct4
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size68.5 KiB
2023-12-09T21:03:10.996747image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.97
Min length3

Characters and Unicode

Total characters12970
Distinct characters18
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique3 ?
Unique (%)0.3%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 997
49.9%
available 997
49.9%
921 1
 
0.1%
105 1
 
0.1%
340 1
 
0.1%
2023-12-09T21:03:11.289651image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1994
15.4%
l 1994
15.4%
N 997
7.7%
e 997
7.7%
o 997
7.7%
i 997
7.7%
b 997
7.7%
v 997
7.7%
A 997
7.7%
997
7.7%
Other values (8) 1006
7.8%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9970
76.9%
Uppercase Letter 1994
 
15.4%
Space Separator 997
 
7.7%
Decimal Number 9
 
0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 1994
20.0%
l 1994
20.0%
e 997
10.0%
o 997
10.0%
i 997
10.0%
b 997
10.0%
v 997
10.0%
t 997
10.0%
Decimal Number
ValueCountFrequency (%)
1 2
22.2%
0 2
22.2%
9 1
11.1%
2 1
11.1%
5 1
11.1%
3 1
11.1%
4 1
11.1%
Uppercase Letter
ValueCountFrequency (%)
N 997
50.0%
A 997
50.0%
Space Separator
ValueCountFrequency (%)
997
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11964
92.2%
Common 1006
 
7.8%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 1994
16.7%
l 1994
16.7%
N 997
8.3%
e 997
8.3%
o 997
8.3%
i 997
8.3%
b 997
8.3%
v 997
8.3%
A 997
8.3%
t 997
8.3%
Common
ValueCountFrequency (%)
997
99.1%
1 2
 
0.2%
0 2
 
0.2%
9 1
 
0.1%
2 1
 
0.1%
5 1
 
0.1%
3 1
 
0.1%
4 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12970
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1994
15.4%
l 1994
15.4%
N 997
7.7%
e 997
7.7%
o 997
7.7%
i 997
7.7%
b 997
7.7%
v 997
7.7%
A 997
7.7%
997
7.7%
Other values (8) 1006
7.8%
Distinct4
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size68.5 KiB
2023-12-09T21:03:11.464854image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.981
Min length6

Characters and Unicode

Total characters12981
Distinct characters20
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique3 ?
Unique (%)0.3%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 997
49.9%
available 997
49.9%
0.4234 1
 
0.1%
0.90498 1
 
0.1%
1.13105 1
 
0.1%
2023-12-09T21:03:11.768098image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1994
15.4%
l 1994
15.4%
N 997
7.7%
o 997
7.7%
b 997
7.7%
i 997
7.7%
e 997
7.7%
v 997
7.7%
A 997
7.7%
997
7.7%
Other values (10) 1017
7.8%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9970
76.8%
Uppercase Letter 1994
 
15.4%
Space Separator 997
 
7.7%
Decimal Number 17
 
0.1%
Other Punctuation 3
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 1994
20.0%
l 1994
20.0%
o 997
10.0%
b 997
10.0%
i 997
10.0%
e 997
10.0%
v 997
10.0%
t 997
10.0%
Decimal Number
ValueCountFrequency (%)
0 4
23.5%
4 3
17.6%
1 3
17.6%
3 2
11.8%
9 2
11.8%
2 1
 
5.9%
8 1
 
5.9%
5 1
 
5.9%
Uppercase Letter
ValueCountFrequency (%)
N 997
50.0%
A 997
50.0%
Space Separator
ValueCountFrequency (%)
997
100.0%
Other Punctuation
ValueCountFrequency (%)
. 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11964
92.2%
Common 1017
 
7.8%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 1994
16.7%
l 1994
16.7%
N 997
8.3%
o 997
8.3%
b 997
8.3%
i 997
8.3%
e 997
8.3%
v 997
8.3%
A 997
8.3%
t 997
8.3%
Common
ValueCountFrequency (%)
997
98.0%
0 4
 
0.4%
. 3
 
0.3%
4 3
 
0.3%
1 3
 
0.3%
3 2
 
0.2%
9 2
 
0.2%
2 1
 
0.1%
8 1
 
0.1%
5 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12981
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1994
15.4%
l 1994
15.4%
N 997
7.7%
o 997
7.7%
b 997
7.7%
i 997
7.7%
e 997
7.7%
v 997
7.7%
A 997
7.7%
997
7.7%
Other values (10) 1017
7.8%
Distinct4
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size68.5 KiB
2023-12-09T21:03:11.946510image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.981
Min length6

Characters and Unicode

Total characters12981
Distinct characters20
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique3 ?
Unique (%)0.3%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 997
49.9%
available 997
49.9%
0.4234 1
 
0.1%
0.90498 1
 
0.1%
1.13105 1
 
0.1%
2023-12-09T21:03:12.254663image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1994
15.4%
l 1994
15.4%
N 997
7.7%
o 997
7.7%
b 997
7.7%
i 997
7.7%
e 997
7.7%
v 997
7.7%
A 997
7.7%
997
7.7%
Other values (10) 1017
7.8%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9970
76.8%
Uppercase Letter 1994
 
15.4%
Space Separator 997
 
7.7%
Decimal Number 17
 
0.1%
Other Punctuation 3
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 1994
20.0%
l 1994
20.0%
o 997
10.0%
b 997
10.0%
i 997
10.0%
e 997
10.0%
v 997
10.0%
t 997
10.0%
Decimal Number
ValueCountFrequency (%)
0 4
23.5%
4 3
17.6%
1 3
17.6%
3 2
11.8%
9 2
11.8%
2 1
 
5.9%
8 1
 
5.9%
5 1
 
5.9%
Uppercase Letter
ValueCountFrequency (%)
N 997
50.0%
A 997
50.0%
Space Separator
ValueCountFrequency (%)
997
100.0%
Other Punctuation
ValueCountFrequency (%)
. 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11964
92.2%
Common 1017
 
7.8%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 1994
16.7%
l 1994
16.7%
N 997
8.3%
o 997
8.3%
b 997
8.3%
i 997
8.3%
e 997
8.3%
v 997
8.3%
A 997
8.3%
t 997
8.3%
Common
ValueCountFrequency (%)
997
98.0%
0 4
 
0.4%
. 3
 
0.3%
4 3
 
0.3%
1 3
 
0.3%
3 2
 
0.2%
9 2
 
0.2%
2 1
 
0.1%
8 1
 
0.1%
5 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12981
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1994
15.4%
l 1994
15.4%
N 997
7.7%
o 997
7.7%
b 997
7.7%
i 997
7.7%
e 997
7.7%
v 997
7.7%
A 997
7.7%
997
7.7%
Other values (10) 1017
7.8%
Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size68.4 KiB
2023-12-09T21:03:12.428679image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.964
Min length1

Characters and Unicode

Total characters12964
Distinct characters12
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 997
49.9%
available 997
49.9%
0 3
 
0.2%
2023-12-09T21:03:12.720796image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1994
15.4%
l 1994
15.4%
N 997
7.7%
o 997
7.7%
t 997
7.7%
997
7.7%
A 997
7.7%
v 997
7.7%
i 997
7.7%
b 997
7.7%
Other values (2) 1000
7.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9970
76.9%
Uppercase Letter 1994
 
15.4%
Space Separator 997
 
7.7%
Decimal Number 3
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 1994
20.0%
l 1994
20.0%
o 997
10.0%
t 997
10.0%
v 997
10.0%
i 997
10.0%
b 997
10.0%
e 997
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 997
50.0%
A 997
50.0%
Space Separator
ValueCountFrequency (%)
997
100.0%
Decimal Number
ValueCountFrequency (%)
0 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11964
92.3%
Common 1000
 
7.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 1994
16.7%
l 1994
16.7%
N 997
8.3%
o 997
8.3%
t 997
8.3%
A 997
8.3%
v 997
8.3%
i 997
8.3%
b 997
8.3%
e 997
8.3%
Common
ValueCountFrequency (%)
997
99.7%
0 3
 
0.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12964
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1994
15.4%
l 1994
15.4%
N 997
7.7%
o 997
7.7%
t 997
7.7%
997
7.7%
A 997
7.7%
v 997
7.7%
i 997
7.7%
b 997
7.7%
Other values (2) 1000
7.7%
Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size68.4 KiB
2023-12-09T21:03:12.893358image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.964
Min length1

Characters and Unicode

Total characters12964
Distinct characters12
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 997
49.9%
available 997
49.9%
0 3
 
0.2%
2023-12-09T21:03:13.183969image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1994
15.4%
l 1994
15.4%
N 997
7.7%
o 997
7.7%
t 997
7.7%
997
7.7%
A 997
7.7%
v 997
7.7%
i 997
7.7%
b 997
7.7%
Other values (2) 1000
7.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9970
76.9%
Uppercase Letter 1994
 
15.4%
Space Separator 997
 
7.7%
Decimal Number 3
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 1994
20.0%
l 1994
20.0%
o 997
10.0%
t 997
10.0%
v 997
10.0%
i 997
10.0%
b 997
10.0%
e 997
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 997
50.0%
A 997
50.0%
Space Separator
ValueCountFrequency (%)
997
100.0%
Decimal Number
ValueCountFrequency (%)
0 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11964
92.3%
Common 1000
 
7.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 1994
16.7%
l 1994
16.7%
N 997
8.3%
o 997
8.3%
t 997
8.3%
A 997
8.3%
v 997
8.3%
i 997
8.3%
b 997
8.3%
e 997
8.3%
Common
ValueCountFrequency (%)
997
99.7%
0 3
 
0.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12964
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1994
15.4%
l 1994
15.4%
N 997
7.7%
o 997
7.7%
t 997
7.7%
997
7.7%
A 997
7.7%
v 997
7.7%
i 997
7.7%
b 997
7.7%
Other values (2) 1000
7.7%
Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size68.5 KiB
2023-12-09T21:03:13.354018image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.97
Min length3

Characters and Unicode

Total characters12970
Distinct characters13
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 997
49.9%
available 997
49.9%
100 3
 
0.2%
2023-12-09T21:03:13.636857image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1994
15.4%
l 1994
15.4%
N 997
7.7%
o 997
7.7%
t 997
7.7%
997
7.7%
A 997
7.7%
v 997
7.7%
i 997
7.7%
b 997
7.7%
Other values (3) 1006
7.8%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9970
76.9%
Uppercase Letter 1994
 
15.4%
Space Separator 997
 
7.7%
Decimal Number 9
 
0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 1994
20.0%
l 1994
20.0%
o 997
10.0%
t 997
10.0%
v 997
10.0%
i 997
10.0%
b 997
10.0%
e 997
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 997
50.0%
A 997
50.0%
Decimal Number
ValueCountFrequency (%)
0 6
66.7%
1 3
33.3%
Space Separator
ValueCountFrequency (%)
997
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11964
92.2%
Common 1006
 
7.8%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 1994
16.7%
l 1994
16.7%
N 997
8.3%
o 997
8.3%
t 997
8.3%
A 997
8.3%
v 997
8.3%
i 997
8.3%
b 997
8.3%
e 997
8.3%
Common
ValueCountFrequency (%)
997
99.1%
0 6
 
0.6%
1 3
 
0.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12970
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1994
15.4%
l 1994
15.4%
N 997
7.7%
o 997
7.7%
t 997
7.7%
997
7.7%
A 997
7.7%
v 997
7.7%
i 997
7.7%
b 997
7.7%
Other values (3) 1006
7.8%
Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size68.5 KiB
2023-12-09T21:03:13.807603image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.97
Min length3

Characters and Unicode

Total characters12970
Distinct characters13
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 997
49.9%
available 997
49.9%
100 3
 
0.2%
2023-12-09T21:03:14.090425image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1994
15.4%
l 1994
15.4%
N 997
7.7%
o 997
7.7%
t 997
7.7%
997
7.7%
A 997
7.7%
v 997
7.7%
i 997
7.7%
b 997
7.7%
Other values (3) 1006
7.8%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9970
76.9%
Uppercase Letter 1994
 
15.4%
Space Separator 997
 
7.7%
Decimal Number 9
 
0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 1994
20.0%
l 1994
20.0%
o 997
10.0%
t 997
10.0%
v 997
10.0%
i 997
10.0%
b 997
10.0%
e 997
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 997
50.0%
A 997
50.0%
Decimal Number
ValueCountFrequency (%)
0 6
66.7%
1 3
33.3%
Space Separator
ValueCountFrequency (%)
997
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11964
92.2%
Common 1006
 
7.8%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 1994
16.7%
l 1994
16.7%
N 997
8.3%
o 997
8.3%
t 997
8.3%
A 997
8.3%
v 997
8.3%
i 997
8.3%
b 997
8.3%
e 997
8.3%
Common
ValueCountFrequency (%)
997
99.1%
0 6
 
0.6%
1 3
 
0.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12970
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1994
15.4%
l 1994
15.4%
N 997
7.7%
o 997
7.7%
t 997
7.7%
997
7.7%
A 997
7.7%
v 997
7.7%
i 997
7.7%
b 997
7.7%
Other values (3) 1006
7.8%
Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size68.5 KiB
2023-12-09T21:03:14.281037image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length31
Median length13
Mean length13.018
Min length13

Characters and Unicode

Total characters13018
Distinct characters19
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)0.1%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 999
49.9%
available 999
49.9%
no 1
 
< 0.1%
specific 1
 
< 0.1%
resident 1
 
< 0.1%
population 1
 
< 0.1%
2023-12-09T21:03:14.592179image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
l 1999
15.4%
a 1999
15.4%
i 1003
7.7%
1002
7.7%
e 1002
7.7%
o 1002
7.7%
t 1001
7.7%
N 1000
7.7%
b 999
7.7%
v 999
7.7%
Other values (9) 1012
7.8%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 10017
76.9%
Uppercase Letter 1999
 
15.4%
Space Separator 1002
 
7.7%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
l 1999
20.0%
a 1999
20.0%
i 1003
10.0%
e 1002
10.0%
o 1002
10.0%
t 1001
10.0%
b 999
10.0%
v 999
10.0%
p 3
 
< 0.1%
s 2
 
< 0.1%
Other values (6) 8
 
0.1%
Uppercase Letter
ValueCountFrequency (%)
N 1000
50.0%
A 999
50.0%
Space Separator
ValueCountFrequency (%)
1002
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 12016
92.3%
Common 1002
 
7.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
l 1999
16.6%
a 1999
16.6%
i 1003
8.3%
e 1002
8.3%
o 1002
8.3%
t 1001
8.3%
N 1000
8.3%
b 999
8.3%
v 999
8.3%
A 999
8.3%
Other values (8) 13
 
0.1%
Common
ValueCountFrequency (%)
1002
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 13018
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
l 1999
15.4%
a 1999
15.4%
i 1003
7.7%
1002
7.7%
e 1002
7.7%
o 1002
7.7%
t 1001
7.7%
N 1000
7.7%
b 999
7.7%
v 999
7.7%
Other values (9) 1012
7.8%
Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size68.5 KiB
2023-12-09T21:03:14.764746image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.993
Min length6

Characters and Unicode

Total characters12993
Distinct characters17
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)0.1%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 999
50.0%
available 999
50.0%
591640 1
 
0.1%
2023-12-09T21:03:15.062899image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
l 1998
15.4%
a 1998
15.4%
e 999
7.7%
b 999
7.7%
o 999
7.7%
i 999
7.7%
N 999
7.7%
v 999
7.7%
A 999
7.7%
999
7.7%
Other values (7) 1005
7.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9990
76.9%
Uppercase Letter 1998
 
15.4%
Space Separator 999
 
7.7%
Decimal Number 6
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
l 1998
20.0%
a 1998
20.0%
e 999
10.0%
b 999
10.0%
o 999
10.0%
i 999
10.0%
v 999
10.0%
t 999
10.0%
Decimal Number
ValueCountFrequency (%)
5 1
16.7%
9 1
16.7%
1 1
16.7%
6 1
16.7%
4 1
16.7%
0 1
16.7%
Uppercase Letter
ValueCountFrequency (%)
N 999
50.0%
A 999
50.0%
Space Separator
ValueCountFrequency (%)
999
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11988
92.3%
Common 1005
 
7.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
l 1998
16.7%
a 1998
16.7%
e 999
8.3%
b 999
8.3%
o 999
8.3%
i 999
8.3%
N 999
8.3%
v 999
8.3%
A 999
8.3%
t 999
8.3%
Common
ValueCountFrequency (%)
999
99.4%
5 1
 
0.1%
9 1
 
0.1%
1 1
 
0.1%
6 1
 
0.1%
4 1
 
0.1%
0 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12993
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
l 1998
15.4%
a 1998
15.4%
e 999
7.7%
b 999
7.7%
o 999
7.7%
i 999
7.7%
N 999
7.7%
v 999
7.7%
A 999
7.7%
999
7.7%
Other values (7) 1005
7.7%
Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size68.5 KiB
2023-12-09T21:03:15.233883image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.993
Min length6

Characters and Unicode

Total characters12993
Distinct characters14
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)0.1%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 999
50.0%
available 999
50.0%
440700 1
 
0.1%
2023-12-09T21:03:15.545007image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1998
15.4%
l 1998
15.4%
N 999
7.7%
o 999
7.7%
t 999
7.7%
999
7.7%
A 999
7.7%
v 999
7.7%
i 999
7.7%
b 999
7.7%
Other values (4) 1005
7.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9990
76.9%
Uppercase Letter 1998
 
15.4%
Space Separator 999
 
7.7%
Decimal Number 6
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 1998
20.0%
l 1998
20.0%
o 999
10.0%
t 999
10.0%
v 999
10.0%
i 999
10.0%
b 999
10.0%
e 999
10.0%
Decimal Number
ValueCountFrequency (%)
0 3
50.0%
4 2
33.3%
7 1
 
16.7%
Uppercase Letter
ValueCountFrequency (%)
N 999
50.0%
A 999
50.0%
Space Separator
ValueCountFrequency (%)
999
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11988
92.3%
Common 1005
 
7.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 1998
16.7%
l 1998
16.7%
N 999
8.3%
o 999
8.3%
t 999
8.3%
A 999
8.3%
v 999
8.3%
i 999
8.3%
b 999
8.3%
e 999
8.3%
Common
ValueCountFrequency (%)
999
99.4%
0 3
 
0.3%
4 2
 
0.2%
7 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12993
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1998
15.4%
l 1998
15.4%
N 999
7.7%
o 999
7.7%
t 999
7.7%
999
7.7%
A 999
7.7%
v 999
7.7%
i 999
7.7%
b 999
7.7%
Other values (4) 1005
7.7%
Distinct99
Distinct (%)9.9%
Missing0
Missing (%)0.0%
Memory size67.8 KiB
2023-12-09T21:03:15.921656image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.339
Min length5

Characters and Unicode

Total characters12339
Distinct characters22
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique98 ?
Unique (%)9.8%

Sample

1st row681611
2nd row366528
3rd rowNot Available
4th row390878
5th row1539113
ValueCountFrequency (%)
not 902
47.4%
available 902
47.4%
406785 1
 
0.1%
767029 1
 
0.1%
1802777.6 1
 
0.1%
52519 1
 
0.1%
1412074 1
 
0.1%
285562 1
 
0.1%
147725 1
 
0.1%
2537669 1
 
0.1%
Other values (90) 90
 
4.7%
2023-12-09T21:03:16.475310image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1804
14.6%
l 1804
14.6%
N 902
7.3%
o 902
7.3%
t 902
7.3%
902
7.3%
A 902
7.3%
v 902
7.3%
i 902
7.3%
b 902
7.3%
Other values (12) 1515
12.3%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9020
73.1%
Uppercase Letter 1804
 
14.6%
Space Separator 902
 
7.3%
Decimal Number 610
 
4.9%
Other Punctuation 3
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 82
13.4%
2 81
13.3%
0 67
11.0%
7 62
10.2%
3 61
10.0%
4 56
9.2%
8 54
8.9%
6 54
8.9%
5 47
7.7%
9 46
7.5%
Lowercase Letter
ValueCountFrequency (%)
a 1804
20.0%
l 1804
20.0%
o 902
10.0%
t 902
10.0%
v 902
10.0%
i 902
10.0%
b 902
10.0%
e 902
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 902
50.0%
A 902
50.0%
Space Separator
ValueCountFrequency (%)
902
100.0%
Other Punctuation
ValueCountFrequency (%)
. 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 10824
87.7%
Common 1515
 
12.3%

Most frequent character per script

Common
ValueCountFrequency (%)
902
59.5%
1 82
 
5.4%
2 81
 
5.3%
0 67
 
4.4%
7 62
 
4.1%
3 61
 
4.0%
4 56
 
3.7%
8 54
 
3.6%
6 54
 
3.6%
5 47
 
3.1%
Other values (2) 49
 
3.2%
Latin
ValueCountFrequency (%)
a 1804
16.7%
l 1804
16.7%
N 902
8.3%
o 902
8.3%
t 902
8.3%
A 902
8.3%
v 902
8.3%
i 902
8.3%
b 902
8.3%
e 902
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12339
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1804
14.6%
l 1804
14.6%
N 902
7.3%
o 902
7.3%
t 902
7.3%
902
7.3%
A 902
7.3%
v 902
7.3%
i 902
7.3%
b 902
7.3%
Other values (12) 1515
12.3%
Distinct97
Distinct (%)9.7%
Missing0
Missing (%)0.0%
Memory size67.6 KiB
2023-12-09T21:03:16.845104image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.14
Min length2

Characters and Unicode

Total characters12140
Distinct characters22
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique94 ?
Unique (%)9.4%

Sample

1st row2546
2nd row1670
3rd rowNot Available
4th row1810
5th row4008
ValueCountFrequency (%)
not 902
47.4%
available 902
47.4%
286 2
 
0.1%
600 2
 
0.1%
1744 1
 
0.1%
5618 1
 
0.1%
2942 1
 
0.1%
2952 1
 
0.1%
499 1
 
0.1%
4126.5 1
 
0.1%
Other values (88) 88
 
4.6%
2023-12-09T21:03:17.345148image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1804
14.9%
l 1804
14.9%
N 902
7.4%
t 902
7.4%
902
7.4%
A 902
7.4%
v 902
7.4%
i 902
7.4%
b 902
7.4%
e 902
7.4%
Other values (12) 1316
10.8%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9020
74.3%
Uppercase Letter 1804
 
14.9%
Space Separator 902
 
7.4%
Decimal Number 397
 
3.3%
Other Punctuation 17
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 65
16.4%
2 56
14.1%
1 50
12.6%
4 40
10.1%
6 38
9.6%
3 33
8.3%
7 31
7.8%
8 30
7.6%
5 27
6.8%
9 27
6.8%
Lowercase Letter
ValueCountFrequency (%)
a 1804
20.0%
l 1804
20.0%
t 902
10.0%
v 902
10.0%
i 902
10.0%
b 902
10.0%
e 902
10.0%
o 902
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 902
50.0%
A 902
50.0%
Space Separator
ValueCountFrequency (%)
902
100.0%
Other Punctuation
ValueCountFrequency (%)
. 17
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 10824
89.2%
Common 1316
 
10.8%

Most frequent character per script

Common
ValueCountFrequency (%)
902
68.5%
0 65
 
4.9%
2 56
 
4.3%
1 50
 
3.8%
4 40
 
3.0%
6 38
 
2.9%
3 33
 
2.5%
7 31
 
2.4%
8 30
 
2.3%
5 27
 
2.1%
Other values (2) 44
 
3.3%
Latin
ValueCountFrequency (%)
a 1804
16.7%
l 1804
16.7%
N 902
8.3%
t 902
8.3%
A 902
8.3%
v 902
8.3%
i 902
8.3%
b 902
8.3%
e 902
8.3%
o 902
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12140
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1804
14.9%
l 1804
14.9%
N 902
7.4%
t 902
7.4%
902
7.4%
A 902
7.4%
v 902
7.4%
i 902
7.4%
b 902
7.4%
e 902
7.4%
Other values (12) 1316
10.8%
Distinct98
Distinct (%)9.8%
Missing0
Missing (%)0.0%
Memory size67.8 KiB
2023-12-09T21:03:17.717091image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.265
Min length1

Characters and Unicode

Total characters12265
Distinct characters22
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique96 ?
Unique (%)9.6%

Sample

1st row176.83
2nd row257.43
3rd rowNot Available
4th row262.43
5th row515.67
ValueCountFrequency (%)
not 902
47.4%
available 902
47.4%
200 2
 
0.1%
1115.18 1
 
0.1%
283.09 1
 
0.1%
1254.43 1
 
0.1%
2566.89 1
 
0.1%
411.04 1
 
0.1%
744.32 1
 
0.1%
569.56 1
 
0.1%
Other values (89) 89
 
4.7%
2023-12-09T21:03:18.212593image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1804
14.7%
l 1804
14.7%
N 902
7.4%
t 902
7.4%
902
7.4%
A 902
7.4%
v 902
7.4%
i 902
7.4%
b 902
7.4%
e 902
7.4%
Other values (12) 1441
11.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9020
73.5%
Uppercase Letter 1804
 
14.7%
Space Separator 902
 
7.4%
Decimal Number 465
 
3.8%
Other Punctuation 74
 
0.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 66
14.2%
2 59
12.7%
4 51
11.0%
5 51
11.0%
3 46
9.9%
0 42
9.0%
9 40
8.6%
6 38
8.2%
8 36
7.7%
7 36
7.7%
Lowercase Letter
ValueCountFrequency (%)
a 1804
20.0%
l 1804
20.0%
t 902
10.0%
v 902
10.0%
i 902
10.0%
b 902
10.0%
e 902
10.0%
o 902
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 902
50.0%
A 902
50.0%
Space Separator
ValueCountFrequency (%)
902
100.0%
Other Punctuation
ValueCountFrequency (%)
. 74
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 10824
88.3%
Common 1441
 
11.7%

Most frequent character per script

Common
ValueCountFrequency (%)
902
62.6%
. 74
 
5.1%
1 66
 
4.6%
2 59
 
4.1%
4 51
 
3.5%
5 51
 
3.5%
3 46
 
3.2%
0 42
 
2.9%
9 40
 
2.8%
6 38
 
2.6%
Other values (2) 72
 
5.0%
Latin
ValueCountFrequency (%)
a 1804
16.7%
l 1804
16.7%
N 902
8.3%
t 902
8.3%
A 902
8.3%
v 902
8.3%
i 902
8.3%
b 902
8.3%
e 902
8.3%
o 902
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12265
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1804
14.7%
l 1804
14.7%
N 902
7.4%
t 902
7.4%
902
7.4%
A 902
7.4%
v 902
7.4%
i 902
7.4%
b 902
7.4%
e 902
7.4%
Other values (12) 1441
11.7%
Distinct6
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size67.5 KiB
2023-12-09T21:03:18.407851image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.028
Min length3

Characters and Unicode

Total characters12028
Distinct characters19
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique4 ?
Unique (%)0.4%

Sample

1st row100
2nd row100
3rd rowNot Available
4th row100
5th row100
ValueCountFrequency (%)
not 902
47.4%
available 902
47.4%
100 94
 
4.9%
96.06 1
 
0.1%
96.88 1
 
0.1%
96.66 1
 
0.1%
70.05 1
 
0.1%
2023-12-09T21:03:18.707135image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1804
15.0%
l 1804
15.0%
N 902
7.5%
e 902
7.5%
o 902
7.5%
i 902
7.5%
b 902
7.5%
v 902
7.5%
A 902
7.5%
902
7.5%
Other values (9) 1204
10.0%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9020
75.0%
Uppercase Letter 1804
 
15.0%
Space Separator 902
 
7.5%
Decimal Number 298
 
2.5%
Other Punctuation 4
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 1804
20.0%
l 1804
20.0%
e 902
10.0%
o 902
10.0%
i 902
10.0%
b 902
10.0%
v 902
10.0%
t 902
10.0%
Decimal Number
ValueCountFrequency (%)
0 191
64.1%
1 94
31.5%
6 6
 
2.0%
9 3
 
1.0%
8 2
 
0.7%
7 1
 
0.3%
5 1
 
0.3%
Uppercase Letter
ValueCountFrequency (%)
N 902
50.0%
A 902
50.0%
Space Separator
ValueCountFrequency (%)
902
100.0%
Other Punctuation
ValueCountFrequency (%)
. 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 10824
90.0%
Common 1204
 
10.0%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 1804
16.7%
l 1804
16.7%
N 902
8.3%
e 902
8.3%
o 902
8.3%
i 902
8.3%
b 902
8.3%
v 902
8.3%
A 902
8.3%
t 902
8.3%
Common
ValueCountFrequency (%)
902
74.9%
0 191
 
15.9%
1 94
 
7.8%
6 6
 
0.5%
. 4
 
0.3%
9 3
 
0.2%
8 2
 
0.2%
7 1
 
0.1%
5 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12028
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1804
15.0%
l 1804
15.0%
N 902
7.5%
e 902
7.5%
o 902
7.5%
i 902
7.5%
b 902
7.5%
v 902
7.5%
A 902
7.5%
902
7.5%
Other values (9) 1204
10.0%
Distinct8
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size67.5 KiB
2023-12-09T21:03:18.899184image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.032
Min length3

Characters and Unicode

Total characters12032
Distinct characters20
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique6 ?
Unique (%)0.6%

Sample

1st row100
2nd row100
3rd rowNot Available
4th row100
5th row100
ValueCountFrequency (%)
not 902
47.4%
available 902
47.4%
100 92
 
4.8%
97.01 1
 
0.1%
96.06 1
 
0.1%
99.13 1
 
0.1%
96.88 1
 
0.1%
70.05 1
 
0.1%
99.57 1
 
0.1%
2023-12-09T21:03:19.206195image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1804
15.0%
l 1804
15.0%
N 902
7.5%
o 902
7.5%
b 902
7.5%
i 902
7.5%
e 902
7.5%
v 902
7.5%
A 902
7.5%
902
7.5%
Other values (10) 1208
10.0%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9020
75.0%
Uppercase Letter 1804
 
15.0%
Space Separator 902
 
7.5%
Decimal Number 300
 
2.5%
Other Punctuation 6
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 1804
20.0%
l 1804
20.0%
o 902
10.0%
b 902
10.0%
i 902
10.0%
e 902
10.0%
v 902
10.0%
t 902
10.0%
Decimal Number
ValueCountFrequency (%)
0 188
62.7%
1 94
31.3%
9 7
 
2.3%
7 3
 
1.0%
6 3
 
1.0%
8 2
 
0.7%
5 2
 
0.7%
3 1
 
0.3%
Uppercase Letter
ValueCountFrequency (%)
N 902
50.0%
A 902
50.0%
Space Separator
ValueCountFrequency (%)
902
100.0%
Other Punctuation
ValueCountFrequency (%)
. 6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 10824
90.0%
Common 1208
 
10.0%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 1804
16.7%
l 1804
16.7%
N 902
8.3%
o 902
8.3%
b 902
8.3%
i 902
8.3%
e 902
8.3%
v 902
8.3%
A 902
8.3%
t 902
8.3%
Common
ValueCountFrequency (%)
902
74.7%
0 188
 
15.6%
1 94
 
7.8%
9 7
 
0.6%
. 6
 
0.5%
7 3
 
0.2%
6 3
 
0.2%
8 2
 
0.2%
5 2
 
0.2%
3 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12032
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1804
15.0%
l 1804
15.0%
N 902
7.5%
o 902
7.5%
b 902
7.5%
i 902
7.5%
e 902
7.5%
v 902
7.5%
A 902
7.5%
902
7.5%
Other values (10) 1208
10.0%
Distinct91
Distinct (%)9.1%
Missing0
Missing (%)0.0%
Memory size67.7 KiB
2023-12-09T21:03:19.553337image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.155
Min length2

Characters and Unicode

Total characters12155
Distinct characters22
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique86 ?
Unique (%)8.6%

Sample

1st row54.82
2nd row65
3rd rowNot Available
4th row76.5
5th row78.4
ValueCountFrequency (%)
not 902
47.4%
available 902
47.4%
65 6
 
0.3%
84 2
 
0.1%
60 2
 
0.1%
55.48 2
 
0.1%
50.37 1
 
0.1%
45.89 1
 
0.1%
64.94 1
 
0.1%
53.35 1
 
0.1%
Other values (82) 82
 
4.3%
2023-12-09T21:03:20.036329image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1804
14.8%
l 1804
14.8%
N 902
7.4%
t 902
7.4%
902
7.4%
A 902
7.4%
v 902
7.4%
i 902
7.4%
b 902
7.4%
e 902
7.4%
Other values (12) 1331
11.0%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9020
74.2%
Uppercase Letter 1804
 
14.8%
Space Separator 902
 
7.4%
Decimal Number 350
 
2.9%
Other Punctuation 79
 
0.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
6 65
18.6%
5 58
16.6%
8 41
11.7%
4 37
10.6%
3 34
9.7%
7 29
8.3%
1 27
7.7%
9 26
 
7.4%
0 17
 
4.9%
2 16
 
4.6%
Lowercase Letter
ValueCountFrequency (%)
a 1804
20.0%
l 1804
20.0%
t 902
10.0%
v 902
10.0%
i 902
10.0%
b 902
10.0%
e 902
10.0%
o 902
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 902
50.0%
A 902
50.0%
Space Separator
ValueCountFrequency (%)
902
100.0%
Other Punctuation
ValueCountFrequency (%)
. 79
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 10824
89.0%
Common 1331
 
11.0%

Most frequent character per script

Common
ValueCountFrequency (%)
902
67.8%
. 79
 
5.9%
6 65
 
4.9%
5 58
 
4.4%
8 41
 
3.1%
4 37
 
2.8%
3 34
 
2.6%
7 29
 
2.2%
1 27
 
2.0%
9 26
 
2.0%
Other values (2) 33
 
2.5%
Latin
ValueCountFrequency (%)
a 1804
16.7%
l 1804
16.7%
N 902
8.3%
t 902
8.3%
A 902
8.3%
v 902
8.3%
i 902
8.3%
b 902
8.3%
e 902
8.3%
o 902
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12155
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1804
14.8%
l 1804
14.8%
N 902
7.4%
t 902
7.4%
902
7.4%
A 902
7.4%
v 902
7.4%
i 902
7.4%
b 902
7.4%
e 902
7.4%
Other values (12) 1331
11.0%
Distinct99
Distinct (%)9.9%
Missing0
Missing (%)0.0%
Memory size67.9 KiB
2023-12-09T21:03:20.426787image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.396
Min length1

Characters and Unicode

Total characters12396
Distinct characters22
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique98 ?
Unique (%)9.8%

Sample

1st row0.25943
2nd row0.70235
3rd rowNot Available
4th row0.67138
5th row0.33504
ValueCountFrequency (%)
not 902
47.4%
available 902
47.4%
1.10412 1
 
0.1%
0.71579 1
 
0.1%
1.79011 1
 
0.1%
1.68008 1
 
0.1%
0.85668 1
 
0.1%
0.53664 1
 
0.1%
1.45833 1
 
0.1%
0.78971 1
 
0.1%
Other values (90) 90
 
4.7%
2023-12-09T21:03:20.927211image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1804
14.6%
l 1804
14.6%
N 902
7.3%
t 902
7.3%
902
7.3%
A 902
7.3%
v 902
7.3%
i 902
7.3%
b 902
7.3%
e 902
7.3%
Other values (12) 1572
12.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9020
72.8%
Uppercase Letter 1804
 
14.6%
Space Separator 902
 
7.3%
Decimal Number 573
 
4.6%
Other Punctuation 97
 
0.8%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 92
16.1%
1 91
15.9%
6 59
10.3%
7 54
9.4%
4 50
8.7%
2 48
8.4%
8 46
8.0%
3 46
8.0%
9 44
7.7%
5 43
7.5%
Lowercase Letter
ValueCountFrequency (%)
a 1804
20.0%
l 1804
20.0%
t 902
10.0%
v 902
10.0%
i 902
10.0%
b 902
10.0%
e 902
10.0%
o 902
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 902
50.0%
A 902
50.0%
Space Separator
ValueCountFrequency (%)
902
100.0%
Other Punctuation
ValueCountFrequency (%)
. 97
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 10824
87.3%
Common 1572
 
12.7%

Most frequent character per script

Common
ValueCountFrequency (%)
902
57.4%
. 97
 
6.2%
0 92
 
5.9%
1 91
 
5.8%
6 59
 
3.8%
7 54
 
3.4%
4 50
 
3.2%
2 48
 
3.1%
8 46
 
2.9%
3 46
 
2.9%
Other values (2) 87
 
5.5%
Latin
ValueCountFrequency (%)
a 1804
16.7%
l 1804
16.7%
N 902
8.3%
t 902
8.3%
A 902
8.3%
v 902
8.3%
i 902
8.3%
b 902
8.3%
e 902
8.3%
o 902
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12396
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1804
14.6%
l 1804
14.6%
N 902
7.3%
t 902
7.3%
902
7.3%
A 902
7.3%
v 902
7.3%
i 902
7.3%
b 902
7.3%
e 902
7.3%
Other values (12) 1572
12.7%
Distinct15
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size68.3 KiB
2023-12-09T21:03:21.135678image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.862
Min length1

Characters and Unicode

Total characters12862
Distinct characters21
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique13 ?
Unique (%)1.3%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 985
49.6%
available 985
49.6%
0 2
 
0.1%
8270 1
 
0.1%
396315 1
 
0.1%
4000 1
 
0.1%
2070 1
 
0.1%
190 1
 
0.1%
5097 1
 
0.1%
3085 1
 
0.1%
Other values (6) 6
 
0.3%
2023-12-09T21:03:21.452350image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1970
15.3%
l 1970
15.3%
N 985
7.7%
o 985
7.7%
b 985
7.7%
i 985
7.7%
e 985
7.7%
v 985
7.7%
A 985
7.7%
985
7.7%
Other values (11) 1042
8.1%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9850
76.6%
Uppercase Letter 1970
 
15.3%
Space Separator 985
 
7.7%
Decimal Number 57
 
0.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 17
29.8%
3 8
14.0%
9 6
 
10.5%
1 6
 
10.5%
7 5
 
8.8%
2 4
 
7.0%
5 4
 
7.0%
8 3
 
5.3%
6 3
 
5.3%
4 1
 
1.8%
Lowercase Letter
ValueCountFrequency (%)
a 1970
20.0%
l 1970
20.0%
o 985
10.0%
b 985
10.0%
i 985
10.0%
e 985
10.0%
v 985
10.0%
t 985
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 985
50.0%
A 985
50.0%
Space Separator
ValueCountFrequency (%)
985
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11820
91.9%
Common 1042
 
8.1%

Most frequent character per script

Common
ValueCountFrequency (%)
985
94.5%
0 17
 
1.6%
3 8
 
0.8%
9 6
 
0.6%
1 6
 
0.6%
7 5
 
0.5%
2 4
 
0.4%
5 4
 
0.4%
8 3
 
0.3%
6 3
 
0.3%
Latin
ValueCountFrequency (%)
a 1970
16.7%
l 1970
16.7%
N 985
8.3%
o 985
8.3%
b 985
8.3%
i 985
8.3%
e 985
8.3%
v 985
8.3%
A 985
8.3%
t 985
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12862
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1970
15.3%
l 1970
15.3%
N 985
7.7%
o 985
7.7%
b 985
7.7%
i 985
7.7%
e 985
7.7%
v 985
7.7%
A 985
7.7%
985
7.7%
Other values (11) 1042
8.1%
Distinct3
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size68.5 KiB
2023-12-09T21:03:21.630474image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.985
Min length5

Characters and Unicode

Total characters12985
Distinct characters17
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2 ?
Unique (%)0.2%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 998
49.9%
available 998
49.9%
60612 1
 
0.1%
108013 1
 
0.1%
2023-12-09T21:03:21.938222image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
l 1996
15.4%
a 1996
15.4%
e 998
7.7%
b 998
7.7%
o 998
7.7%
i 998
7.7%
N 998
7.7%
v 998
7.7%
A 998
7.7%
998
7.7%
Other values (7) 1009
7.8%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9980
76.9%
Uppercase Letter 1996
 
15.4%
Space Separator 998
 
7.7%
Decimal Number 11
 
0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
l 1996
20.0%
a 1996
20.0%
e 998
10.0%
b 998
10.0%
o 998
10.0%
i 998
10.0%
v 998
10.0%
t 998
10.0%
Decimal Number
ValueCountFrequency (%)
0 3
27.3%
1 3
27.3%
6 2
18.2%
2 1
 
9.1%
8 1
 
9.1%
3 1
 
9.1%
Uppercase Letter
ValueCountFrequency (%)
N 998
50.0%
A 998
50.0%
Space Separator
ValueCountFrequency (%)
998
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11976
92.2%
Common 1009
 
7.8%

Most frequent character per script

Latin
ValueCountFrequency (%)
l 1996
16.7%
a 1996
16.7%
e 998
8.3%
b 998
8.3%
o 998
8.3%
i 998
8.3%
N 998
8.3%
v 998
8.3%
A 998
8.3%
t 998
8.3%
Common
ValueCountFrequency (%)
998
98.9%
0 3
 
0.3%
1 3
 
0.3%
6 2
 
0.2%
2 1
 
0.1%
8 1
 
0.1%
3 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12985
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
l 1996
15.4%
a 1996
15.4%
e 998
7.7%
b 998
7.7%
o 998
7.7%
i 998
7.7%
N 998
7.7%
v 998
7.7%
A 998
7.7%
998
7.7%
Other values (7) 1009
7.8%
Distinct3
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size68.5 KiB
2023-12-09T21:03:22.114268image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.986
Min length6

Characters and Unicode

Total characters12986
Distinct characters18
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2 ?
Unique (%)0.2%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 998
49.9%
available 998
49.9%
174570 1
 
0.1%
145192 1
 
0.1%
2023-12-09T21:03:22.416019image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1996
15.4%
l 1996
15.4%
N 998
7.7%
e 998
7.7%
o 998
7.7%
i 998
7.7%
b 998
7.7%
v 998
7.7%
A 998
7.7%
998
7.7%
Other values (8) 1010
7.8%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9980
76.9%
Uppercase Letter 1996
 
15.4%
Space Separator 998
 
7.7%
Decimal Number 12
 
0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 1996
20.0%
l 1996
20.0%
e 998
10.0%
o 998
10.0%
i 998
10.0%
b 998
10.0%
v 998
10.0%
t 998
10.0%
Decimal Number
ValueCountFrequency (%)
1 3
25.0%
7 2
16.7%
4 2
16.7%
5 2
16.7%
0 1
 
8.3%
9 1
 
8.3%
2 1
 
8.3%
Uppercase Letter
ValueCountFrequency (%)
N 998
50.0%
A 998
50.0%
Space Separator
ValueCountFrequency (%)
998
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11976
92.2%
Common 1010
 
7.8%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 1996
16.7%
l 1996
16.7%
N 998
8.3%
e 998
8.3%
o 998
8.3%
i 998
8.3%
b 998
8.3%
v 998
8.3%
A 998
8.3%
t 998
8.3%
Common
ValueCountFrequency (%)
998
98.8%
1 3
 
0.3%
7 2
 
0.2%
4 2
 
0.2%
5 2
 
0.2%
0 1
 
0.1%
9 1
 
0.1%
2 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12986
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1996
15.4%
l 1996
15.4%
N 998
7.7%
e 998
7.7%
o 998
7.7%
i 998
7.7%
b 998
7.7%
v 998
7.7%
A 998
7.7%
998
7.7%
Other values (8) 1010
7.8%
Distinct30
Distinct (%)3.0%
Missing0
Missing (%)0.0%
Memory size68.2 KiB
2023-12-09T21:03:22.640565image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.729
Min length1

Characters and Unicode

Total characters12729
Distinct characters21
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique28 ?
Unique (%)2.8%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 968
49.2%
available 968
49.2%
0 4
 
0.2%
81688 1
 
0.1%
50000 1
 
0.1%
11368 1
 
0.1%
35297 1
 
0.1%
38567 1
 
0.1%
20204 1
 
0.1%
39590 1
 
0.1%
Other values (21) 21
 
1.1%
2023-12-09T21:03:22.995610image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1936
15.2%
l 1936
15.2%
N 968
7.6%
o 968
7.6%
b 968
7.6%
i 968
7.6%
e 968
7.6%
v 968
7.6%
A 968
7.6%
968
7.6%
Other values (11) 1113
8.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9680
76.0%
Uppercase Letter 1936
 
15.2%
Space Separator 968
 
7.6%
Decimal Number 145
 
1.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 24
16.6%
8 18
12.4%
4 17
11.7%
7 15
10.3%
2 15
10.3%
1 13
9.0%
5 13
9.0%
9 11
7.6%
3 10
6.9%
6 9
 
6.2%
Lowercase Letter
ValueCountFrequency (%)
a 1936
20.0%
l 1936
20.0%
o 968
10.0%
b 968
10.0%
i 968
10.0%
e 968
10.0%
v 968
10.0%
t 968
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 968
50.0%
A 968
50.0%
Space Separator
ValueCountFrequency (%)
968
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11616
91.3%
Common 1113
 
8.7%

Most frequent character per script

Common
ValueCountFrequency (%)
968
87.0%
0 24
 
2.2%
8 18
 
1.6%
4 17
 
1.5%
7 15
 
1.3%
2 15
 
1.3%
1 13
 
1.2%
5 13
 
1.2%
9 11
 
1.0%
3 10
 
0.9%
Latin
ValueCountFrequency (%)
a 1936
16.7%
l 1936
16.7%
N 968
8.3%
o 968
8.3%
b 968
8.3%
i 968
8.3%
e 968
8.3%
v 968
8.3%
A 968
8.3%
t 968
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12729
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1936
15.2%
l 1936
15.2%
N 968
7.6%
o 968
7.6%
b 968
7.6%
i 968
7.6%
e 968
7.6%
v 968
7.6%
A 968
7.6%
968
7.6%
Other values (11) 1113
8.7%
Distinct29
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Memory size68.2 KiB
2023-12-09T21:03:23.225708image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.725
Min length1

Characters and Unicode

Total characters12725
Distinct characters21
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique27 ?
Unique (%)2.7%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 968
49.2%
available 968
49.2%
0 5
 
0.3%
10078 1
 
0.1%
41548 1
 
0.1%
50000 1
 
0.1%
11368 1
 
0.1%
35297 1
 
0.1%
38567 1
 
0.1%
20204 1
 
0.1%
Other values (20) 20
 
1.0%
2023-12-09T21:03:23.569154image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1936
15.2%
l 1936
15.2%
N 968
7.6%
o 968
7.6%
b 968
7.6%
i 968
7.6%
e 968
7.6%
v 968
7.6%
A 968
7.6%
968
7.6%
Other values (11) 1109
8.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9680
76.1%
Uppercase Letter 1936
 
15.2%
Space Separator 968
 
7.6%
Decimal Number 141
 
1.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 26
18.4%
7 17
12.1%
5 16
11.3%
8 14
9.9%
2 14
9.9%
4 14
9.9%
1 12
8.5%
3 10
 
7.1%
9 10
 
7.1%
6 8
 
5.7%
Lowercase Letter
ValueCountFrequency (%)
a 1936
20.0%
l 1936
20.0%
o 968
10.0%
b 968
10.0%
i 968
10.0%
e 968
10.0%
v 968
10.0%
t 968
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 968
50.0%
A 968
50.0%
Space Separator
ValueCountFrequency (%)
968
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11616
91.3%
Common 1109
 
8.7%

Most frequent character per script

Common
ValueCountFrequency (%)
968
87.3%
0 26
 
2.3%
7 17
 
1.5%
5 16
 
1.4%
8 14
 
1.3%
2 14
 
1.3%
4 14
 
1.3%
1 12
 
1.1%
3 10
 
0.9%
9 10
 
0.9%
Latin
ValueCountFrequency (%)
a 1936
16.7%
l 1936
16.7%
N 968
8.3%
o 968
8.3%
b 968
8.3%
i 968
8.3%
e 968
8.3%
v 968
8.3%
A 968
8.3%
t 968
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12725
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1936
15.2%
l 1936
15.2%
N 968
7.6%
o 968
7.6%
b 968
7.6%
i 968
7.6%
e 968
7.6%
v 968
7.6%
A 968
7.6%
968
7.6%
Other values (11) 1109
8.7%
Distinct7
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size68.1 KiB
2023-12-09T21:03:23.753338image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.637
Min length1

Characters and Unicode

Total characters12637
Distinct characters21
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique5 ?
Unique (%)0.5%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 968
49.2%
available 968
49.2%
0 27
 
1.4%
9805 1
 
0.1%
305427 1
 
0.1%
198170 1
 
0.1%
2464 1
 
0.1%
129638 1
 
0.1%
2023-12-09T21:03:24.050264image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1936
15.3%
l 1936
15.3%
N 968
7.7%
o 968
7.7%
b 968
7.7%
i 968
7.7%
e 968
7.7%
v 968
7.7%
A 968
7.7%
968
7.7%
Other values (11) 1021
8.1%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9680
76.6%
Uppercase Letter 1936
 
15.3%
Space Separator 968
 
7.7%
Decimal Number 53
 
0.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 30
56.6%
9 3
 
5.7%
8 3
 
5.7%
4 3
 
5.7%
2 3
 
5.7%
1 3
 
5.7%
5 2
 
3.8%
3 2
 
3.8%
7 2
 
3.8%
6 2
 
3.8%
Lowercase Letter
ValueCountFrequency (%)
a 1936
20.0%
l 1936
20.0%
o 968
10.0%
b 968
10.0%
i 968
10.0%
e 968
10.0%
v 968
10.0%
t 968
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 968
50.0%
A 968
50.0%
Space Separator
ValueCountFrequency (%)
968
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11616
91.9%
Common 1021
 
8.1%

Most frequent character per script

Common
ValueCountFrequency (%)
968
94.8%
0 30
 
2.9%
9 3
 
0.3%
8 3
 
0.3%
4 3
 
0.3%
2 3
 
0.3%
1 3
 
0.3%
5 2
 
0.2%
3 2
 
0.2%
7 2
 
0.2%
Latin
ValueCountFrequency (%)
a 1936
16.7%
l 1936
16.7%
N 968
8.3%
o 968
8.3%
b 968
8.3%
i 968
8.3%
e 968
8.3%
v 968
8.3%
A 968
8.3%
t 968
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12637
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1936
15.3%
l 1936
15.3%
N 968
7.7%
o 968
7.7%
b 968
7.7%
i 968
7.7%
e 968
7.7%
v 968
7.7%
A 968
7.7%
968
7.7%
Other values (11) 1021
8.1%
Distinct6
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size68.1 KiB
2023-12-09T21:03:24.230789image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.63
Min length1

Characters and Unicode

Total characters12630
Distinct characters18
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique4 ?
Unique (%)0.4%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 968
49.2%
available 968
49.2%
0 28
 
1.4%
6000 1
 
0.1%
6676 1
 
0.1%
19081 1
 
0.1%
69184 1
 
0.1%
2023-12-09T21:03:24.530286image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1936
15.3%
l 1936
15.3%
N 968
7.7%
e 968
7.7%
o 968
7.7%
i 968
7.7%
b 968
7.7%
v 968
7.7%
A 968
7.7%
968
7.7%
Other values (8) 1014
8.0%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9680
76.6%
Uppercase Letter 1936
 
15.3%
Space Separator 968
 
7.7%
Decimal Number 46
 
0.4%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 1936
20.0%
l 1936
20.0%
e 968
10.0%
o 968
10.0%
i 968
10.0%
b 968
10.0%
v 968
10.0%
t 968
10.0%
Decimal Number
ValueCountFrequency (%)
0 32
69.6%
6 5
 
10.9%
1 3
 
6.5%
9 2
 
4.3%
8 2
 
4.3%
7 1
 
2.2%
4 1
 
2.2%
Uppercase Letter
ValueCountFrequency (%)
N 968
50.0%
A 968
50.0%
Space Separator
ValueCountFrequency (%)
968
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11616
92.0%
Common 1014
 
8.0%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 1936
16.7%
l 1936
16.7%
N 968
8.3%
e 968
8.3%
o 968
8.3%
i 968
8.3%
b 968
8.3%
v 968
8.3%
A 968
8.3%
t 968
8.3%
Common
ValueCountFrequency (%)
968
95.5%
0 32
 
3.2%
6 5
 
0.5%
1 3
 
0.3%
9 2
 
0.2%
8 2
 
0.2%
7 1
 
0.1%
4 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12630
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1936
15.3%
l 1936
15.3%
N 968
7.7%
e 968
7.7%
o 968
7.7%
i 968
7.7%
b 968
7.7%
v 968
7.7%
A 968
7.7%
968
7.7%
Other values (8) 1014
8.0%
Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size68.5 KiB
2023-12-09T21:03:24.697841image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length13
Min length13

Characters and Unicode

Total characters13000
Distinct characters11
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 1000
50.0%
available 1000
50.0%
2023-12-09T21:03:24.986255image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 2000
15.4%
l 2000
15.4%
N 1000
7.7%
o 1000
7.7%
t 1000
7.7%
1000
7.7%
A 1000
7.7%
v 1000
7.7%
i 1000
7.7%
b 1000
7.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 10000
76.9%
Uppercase Letter 2000
 
15.4%
Space Separator 1000
 
7.7%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 2000
20.0%
l 2000
20.0%
o 1000
10.0%
t 1000
10.0%
v 1000
10.0%
i 1000
10.0%
b 1000
10.0%
e 1000
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 1000
50.0%
A 1000
50.0%
Space Separator
ValueCountFrequency (%)
1000
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 12000
92.3%
Common 1000
 
7.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 2000
16.7%
l 2000
16.7%
N 1000
8.3%
o 1000
8.3%
t 1000
8.3%
A 1000
8.3%
v 1000
8.3%
i 1000
8.3%
b 1000
8.3%
e 1000
8.3%
Common
ValueCountFrequency (%)
1000
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 13000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 2000
15.4%
l 2000
15.4%
N 1000
7.7%
o 1000
7.7%
t 1000
7.7%
1000
7.7%
A 1000
7.7%
v 1000
7.7%
i 1000
7.7%
b 1000
7.7%
Distinct27
Distinct (%)2.7%
Missing0
Missing (%)0.0%
Memory size68.2 KiB
2023-12-09T21:03:25.209012image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.759
Min length1

Characters and Unicode

Total characters12759
Distinct characters21
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique25 ?
Unique (%)2.5%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 973
49.3%
available 973
49.3%
0 2
 
0.1%
34454 1
 
0.1%
7015 1
 
0.1%
7500 1
 
0.1%
25369 1
 
0.1%
14109 1
 
0.1%
12247 1
 
0.1%
5399 1
 
0.1%
Other values (18) 18
 
0.9%
2023-12-09T21:03:25.566752image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1946
15.3%
l 1946
15.3%
N 973
7.6%
o 973
7.6%
b 973
7.6%
i 973
7.6%
e 973
7.6%
v 973
7.6%
A 973
7.6%
973
7.6%
Other values (11) 1083
8.5%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9730
76.3%
Uppercase Letter 1946
 
15.3%
Space Separator 973
 
7.6%
Decimal Number 110
 
0.9%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 17
15.5%
1 15
13.6%
4 13
11.8%
2 12
10.9%
3 12
10.9%
5 10
9.1%
7 10
9.1%
6 8
7.3%
9 8
7.3%
8 5
 
4.5%
Lowercase Letter
ValueCountFrequency (%)
a 1946
20.0%
l 1946
20.0%
o 973
10.0%
b 973
10.0%
i 973
10.0%
e 973
10.0%
v 973
10.0%
t 973
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 973
50.0%
A 973
50.0%
Space Separator
ValueCountFrequency (%)
973
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11676
91.5%
Common 1083
 
8.5%

Most frequent character per script

Common
ValueCountFrequency (%)
973
89.8%
0 17
 
1.6%
1 15
 
1.4%
4 13
 
1.2%
2 12
 
1.1%
3 12
 
1.1%
5 10
 
0.9%
7 10
 
0.9%
6 8
 
0.7%
9 8
 
0.7%
Latin
ValueCountFrequency (%)
a 1946
16.7%
l 1946
16.7%
N 973
8.3%
o 973
8.3%
b 973
8.3%
i 973
8.3%
e 973
8.3%
v 973
8.3%
A 973
8.3%
t 973
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12759
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1946
15.3%
l 1946
15.3%
N 973
7.6%
o 973
7.6%
b 973
7.6%
i 973
7.6%
e 973
7.6%
v 973
7.6%
A 973
7.6%
973
7.6%
Other values (11) 1083
8.5%
Distinct22
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Memory size68.2 KiB
2023-12-09T21:03:25.783143image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.741
Min length1

Characters and Unicode

Total characters12741
Distinct characters22
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique17 ?
Unique (%)1.7%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 974
49.3%
available 974
49.3%
0 3
 
0.2%
65 2
 
0.1%
119 2
 
0.1%
70 2
 
0.1%
105 1
 
0.1%
32.73 1
 
0.1%
104 1
 
0.1%
41.09 1
 
0.1%
Other values (13) 13
 
0.7%
2023-12-09T21:03:26.120140image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1948
15.3%
l 1948
15.3%
N 974
7.6%
t 974
7.6%
974
7.6%
A 974
7.6%
v 974
7.6%
i 974
7.6%
b 974
7.6%
e 974
7.6%
Other values (12) 1053
8.3%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9740
76.4%
Uppercase Letter 1948
 
15.3%
Space Separator 974
 
7.6%
Decimal Number 70
 
0.5%
Other Punctuation 9
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 12
17.1%
9 10
14.3%
0 10
14.3%
4 9
12.9%
5 7
10.0%
3 7
10.0%
6 6
8.6%
7 4
 
5.7%
2 3
 
4.3%
8 2
 
2.9%
Lowercase Letter
ValueCountFrequency (%)
a 1948
20.0%
l 1948
20.0%
t 974
10.0%
v 974
10.0%
i 974
10.0%
b 974
10.0%
e 974
10.0%
o 974
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 974
50.0%
A 974
50.0%
Space Separator
ValueCountFrequency (%)
974
100.0%
Other Punctuation
ValueCountFrequency (%)
. 9
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11688
91.7%
Common 1053
 
8.3%

Most frequent character per script

Common
ValueCountFrequency (%)
974
92.5%
1 12
 
1.1%
9 10
 
0.9%
0 10
 
0.9%
. 9
 
0.9%
4 9
 
0.9%
5 7
 
0.7%
3 7
 
0.7%
6 6
 
0.6%
7 4
 
0.4%
Other values (2) 5
 
0.5%
Latin
ValueCountFrequency (%)
a 1948
16.7%
l 1948
16.7%
N 974
8.3%
t 974
8.3%
A 974
8.3%
v 974
8.3%
i 974
8.3%
b 974
8.3%
e 974
8.3%
o 974
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12741
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1948
15.3%
l 1948
15.3%
N 974
7.6%
t 974
7.6%
974
7.6%
A 974
7.6%
v 974
7.6%
i 974
7.6%
b 974
7.6%
e 974
7.6%
Other values (12) 1053
8.3%
Distinct25
Distinct (%)2.5%
Missing0
Missing (%)0.0%
Memory size68.3 KiB
2023-12-09T21:03:26.359183image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.848
Min length1

Characters and Unicode

Total characters12848
Distinct characters22
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique24 ?
Unique (%)2.4%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 976
49.4%
available 976
49.4%
2.36509 1
 
0.1%
1.72062 1
 
0.1%
11.7025 1
 
0.1%
0.89437 1
 
0.1%
5.71568 1
 
0.1%
0.87337 1
 
0.1%
1.74486 1
 
0.1%
0.40063 1
 
0.1%
Other values (16) 16
 
0.8%
2023-12-09T21:03:26.720336image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1952
15.2%
l 1952
15.2%
N 976
7.6%
t 976
7.6%
976
7.6%
A 976
7.6%
v 976
7.6%
i 976
7.6%
b 976
7.6%
e 976
7.6%
Other values (12) 1136
8.8%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9760
76.0%
Uppercase Letter 1952
 
15.2%
Space Separator 976
 
7.6%
Decimal Number 137
 
1.1%
Other Punctuation 23
 
0.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 18
13.1%
0 17
12.4%
6 15
10.9%
8 15
10.9%
1 14
10.2%
4 14
10.2%
7 14
10.2%
5 11
8.0%
2 10
7.3%
9 9
6.6%
Lowercase Letter
ValueCountFrequency (%)
a 1952
20.0%
l 1952
20.0%
t 976
10.0%
v 976
10.0%
i 976
10.0%
b 976
10.0%
e 976
10.0%
o 976
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 976
50.0%
A 976
50.0%
Space Separator
ValueCountFrequency (%)
976
100.0%
Other Punctuation
ValueCountFrequency (%)
. 23
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11712
91.2%
Common 1136
 
8.8%

Most frequent character per script

Common
ValueCountFrequency (%)
976
85.9%
. 23
 
2.0%
3 18
 
1.6%
0 17
 
1.5%
6 15
 
1.3%
8 15
 
1.3%
1 14
 
1.2%
4 14
 
1.2%
7 14
 
1.2%
5 11
 
1.0%
Other values (2) 19
 
1.7%
Latin
ValueCountFrequency (%)
a 1952
16.7%
l 1952
16.7%
N 976
8.3%
t 976
8.3%
A 976
8.3%
v 976
8.3%
i 976
8.3%
b 976
8.3%
e 976
8.3%
o 976
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12848
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1952
15.2%
l 1952
15.2%
N 976
7.6%
t 976
7.6%
976
7.6%
A 976
7.6%
v 976
7.6%
i 976
7.6%
b 976
7.6%
e 976
7.6%
Other values (12) 1136
8.8%
Distinct44
Distinct (%)4.4%
Missing0
Missing (%)0.0%
Memory size68.1 KiB
2023-12-09T21:03:26.987170image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.627
Min length1

Characters and Unicode

Total characters12627
Distinct characters21
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique41 ?
Unique (%)4.1%

Sample

1st rowNot Available
2nd row15789
3rd rowNot Available
4th rowNot Available
5th row62864
ValueCountFrequency (%)
not 954
48.8%
available 954
48.8%
0 3
 
0.2%
143975 2
 
0.1%
5020 1
 
0.1%
13540 1
 
0.1%
62864 1
 
0.1%
133882 1
 
0.1%
39556 1
 
0.1%
849062 1
 
0.1%
Other values (35) 35
 
1.8%
2023-12-09T21:03:27.384310image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1908
15.1%
l 1908
15.1%
N 954
7.6%
o 954
7.6%
b 954
7.6%
i 954
7.6%
e 954
7.6%
v 954
7.6%
A 954
7.6%
954
7.6%
Other values (11) 1179
9.3%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9540
75.6%
Uppercase Letter 1908
 
15.1%
Space Separator 954
 
7.6%
Decimal Number 225
 
1.8%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 30
13.3%
1 28
12.4%
4 27
12.0%
6 25
11.1%
3 23
10.2%
9 21
9.3%
5 19
8.4%
8 19
8.4%
7 17
7.6%
2 16
7.1%
Lowercase Letter
ValueCountFrequency (%)
a 1908
20.0%
l 1908
20.0%
o 954
10.0%
b 954
10.0%
i 954
10.0%
e 954
10.0%
v 954
10.0%
t 954
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 954
50.0%
A 954
50.0%
Space Separator
ValueCountFrequency (%)
954
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11448
90.7%
Common 1179
 
9.3%

Most frequent character per script

Common
ValueCountFrequency (%)
954
80.9%
0 30
 
2.5%
1 28
 
2.4%
4 27
 
2.3%
6 25
 
2.1%
3 23
 
2.0%
9 21
 
1.8%
5 19
 
1.6%
8 19
 
1.6%
7 17
 
1.4%
Latin
ValueCountFrequency (%)
a 1908
16.7%
l 1908
16.7%
N 954
8.3%
o 954
8.3%
b 954
8.3%
i 954
8.3%
e 954
8.3%
v 954
8.3%
A 954
8.3%
t 954
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12627
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1908
15.1%
l 1908
15.1%
N 954
7.6%
o 954
7.6%
b 954
7.6%
i 954
7.6%
e 954
7.6%
v 954
7.6%
A 954
7.6%
954
7.6%
Other values (11) 1179
9.3%
Distinct6
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size67.9 KiB
2023-12-09T21:03:27.575952image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.448
Min length1

Characters and Unicode

Total characters12448
Distinct characters16
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)0.1%

Sample

1st rowNot Available
2nd row0
3rd rowNot Available
4th rowNot Available
5th row2
ValueCountFrequency (%)
not 954
48.8%
available 954
48.8%
0 36
 
1.8%
7 5
 
0.3%
2 2
 
0.1%
1 2
 
0.1%
8 1
 
0.1%
2023-12-09T21:03:27.871161image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1908
15.3%
l 1908
15.3%
N 954
7.7%
o 954
7.7%
t 954
7.7%
954
7.7%
A 954
7.7%
v 954
7.7%
i 954
7.7%
b 954
7.7%
Other values (6) 1000
8.0%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9540
76.6%
Uppercase Letter 1908
 
15.3%
Space Separator 954
 
7.7%
Decimal Number 46
 
0.4%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 1908
20.0%
l 1908
20.0%
o 954
10.0%
t 954
10.0%
v 954
10.0%
i 954
10.0%
b 954
10.0%
e 954
10.0%
Decimal Number
ValueCountFrequency (%)
0 36
78.3%
7 5
 
10.9%
2 2
 
4.3%
1 2
 
4.3%
8 1
 
2.2%
Uppercase Letter
ValueCountFrequency (%)
N 954
50.0%
A 954
50.0%
Space Separator
ValueCountFrequency (%)
954
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11448
92.0%
Common 1000
 
8.0%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 1908
16.7%
l 1908
16.7%
N 954
8.3%
o 954
8.3%
t 954
8.3%
A 954
8.3%
v 954
8.3%
i 954
8.3%
b 954
8.3%
e 954
8.3%
Common
ValueCountFrequency (%)
954
95.4%
0 36
 
3.6%
7 5
 
0.5%
2 2
 
0.2%
1 2
 
0.2%
8 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12448
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1908
15.3%
l 1908
15.3%
N 954
7.7%
o 954
7.7%
t 954
7.7%
954
7.7%
A 954
7.7%
v 954
7.7%
i 954
7.7%
b 954
7.7%
Other values (6) 1000
8.0%
Distinct15
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size68.0 KiB
2023-12-09T21:03:28.060267image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.457
Min length1

Characters and Unicode

Total characters12457
Distinct characters20
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique11 ?
Unique (%)1.1%

Sample

1st rowNot Available
2nd row0
3rd rowNot Available
4th rowNot Available
5th row5
ValueCountFrequency (%)
not 954
48.8%
available 954
48.8%
0 30
 
1.5%
1 3
 
0.2%
5 2
 
0.1%
2 1
 
0.1%
45 1
 
0.1%
3 1
 
0.1%
51 1
 
0.1%
16 1
 
0.1%
Other values (6) 6
 
0.3%
2023-12-09T21:03:28.376618image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1908
15.3%
l 1908
15.3%
N 954
7.7%
o 954
7.7%
b 954
7.7%
i 954
7.7%
e 954
7.7%
v 954
7.7%
A 954
7.7%
954
7.7%
Other values (10) 1009
8.1%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9540
76.6%
Uppercase Letter 1908
 
15.3%
Space Separator 954
 
7.7%
Decimal Number 55
 
0.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 30
54.5%
1 7
 
12.7%
5 7
 
12.7%
9 3
 
5.5%
2 2
 
3.6%
4 2
 
3.6%
3 2
 
3.6%
6 1
 
1.8%
7 1
 
1.8%
Lowercase Letter
ValueCountFrequency (%)
a 1908
20.0%
l 1908
20.0%
o 954
10.0%
b 954
10.0%
i 954
10.0%
e 954
10.0%
v 954
10.0%
t 954
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 954
50.0%
A 954
50.0%
Space Separator
ValueCountFrequency (%)
954
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11448
91.9%
Common 1009
 
8.1%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 1908
16.7%
l 1908
16.7%
N 954
8.3%
o 954
8.3%
b 954
8.3%
i 954
8.3%
e 954
8.3%
v 954
8.3%
A 954
8.3%
t 954
8.3%
Common
ValueCountFrequency (%)
954
94.5%
0 30
 
3.0%
1 7
 
0.7%
5 7
 
0.7%
9 3
 
0.3%
2 2
 
0.2%
4 2
 
0.2%
3 2
 
0.2%
6 1
 
0.1%
7 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12457
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1908
15.3%
l 1908
15.3%
N 954
7.7%
o 954
7.7%
b 954
7.7%
i 954
7.7%
e 954
7.7%
v 954
7.7%
A 954
7.7%
954
7.7%
Other values (10) 1009
8.1%
Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size68.5 KiB
2023-12-09T21:03:28.550673image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length13
Min length13

Characters and Unicode

Total characters13000
Distinct characters11
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 1000
50.0%
available 1000
50.0%
2023-12-09T21:03:28.837814image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 2000
15.4%
l 2000
15.4%
N 1000
7.7%
o 1000
7.7%
t 1000
7.7%
1000
7.7%
A 1000
7.7%
v 1000
7.7%
i 1000
7.7%
b 1000
7.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 10000
76.9%
Uppercase Letter 2000
 
15.4%
Space Separator 1000
 
7.7%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 2000
20.0%
l 2000
20.0%
o 1000
10.0%
t 1000
10.0%
v 1000
10.0%
i 1000
10.0%
b 1000
10.0%
e 1000
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 1000
50.0%
A 1000
50.0%
Space Separator
ValueCountFrequency (%)
1000
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 12000
92.3%
Common 1000
 
7.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 2000
16.7%
l 2000
16.7%
N 1000
8.3%
o 1000
8.3%
t 1000
8.3%
A 1000
8.3%
v 1000
8.3%
i 1000
8.3%
b 1000
8.3%
e 1000
8.3%
Common
ValueCountFrequency (%)
1000
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 13000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 2000
15.4%
l 2000
15.4%
N 1000
7.7%
o 1000
7.7%
t 1000
7.7%
1000
7.7%
A 1000
7.7%
v 1000
7.7%
i 1000
7.7%
b 1000
7.7%
Distinct4
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size68.5 KiB
2023-12-09T21:03:29.010958image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.977
Min length5

Characters and Unicode

Total characters12977
Distinct characters19
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique3 ?
Unique (%)0.3%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 997
49.9%
available 997
49.9%
107569 1
 
0.1%
67129 1
 
0.1%
93000 1
 
0.1%
2023-12-09T21:03:29.333408image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1994
15.4%
l 1994
15.4%
N 997
7.7%
e 997
7.7%
o 997
7.7%
i 997
7.7%
b 997
7.7%
v 997
7.7%
A 997
7.7%
997
7.7%
Other values (9) 1013
7.8%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9970
76.8%
Uppercase Letter 1994
 
15.4%
Space Separator 997
 
7.7%
Decimal Number 16
 
0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 1994
20.0%
l 1994
20.0%
e 997
10.0%
o 997
10.0%
i 997
10.0%
b 997
10.0%
v 997
10.0%
t 997
10.0%
Decimal Number
ValueCountFrequency (%)
0 4
25.0%
9 3
18.8%
1 2
12.5%
7 2
12.5%
6 2
12.5%
5 1
 
6.2%
2 1
 
6.2%
3 1
 
6.2%
Uppercase Letter
ValueCountFrequency (%)
N 997
50.0%
A 997
50.0%
Space Separator
ValueCountFrequency (%)
997
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11964
92.2%
Common 1013
 
7.8%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 1994
16.7%
l 1994
16.7%
N 997
8.3%
e 997
8.3%
o 997
8.3%
i 997
8.3%
b 997
8.3%
v 997
8.3%
A 997
8.3%
t 997
8.3%
Common
ValueCountFrequency (%)
997
98.4%
0 4
 
0.4%
9 3
 
0.3%
1 2
 
0.2%
7 2
 
0.2%
6 2
 
0.2%
5 1
 
0.1%
2 1
 
0.1%
3 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12977
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1994
15.4%
l 1994
15.4%
N 997
7.7%
e 997
7.7%
o 997
7.7%
i 997
7.7%
b 997
7.7%
v 997
7.7%
A 997
7.7%
997
7.7%
Other values (9) 1013
7.8%
Distinct4
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size68.5 KiB
2023-12-09T21:03:29.518836image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.982
Min length7

Characters and Unicode

Total characters12982
Distinct characters19
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique3 ?
Unique (%)0.3%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 997
49.9%
available 997
49.9%
1.09697 1
 
0.1%
1.49462 1
 
0.1%
1.16194 1
 
0.1%
2023-12-09T21:03:29.822118image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1994
15.4%
l 1994
15.4%
N 997
7.7%
e 997
7.7%
o 997
7.7%
i 997
7.7%
b 997
7.7%
v 997
7.7%
A 997
7.7%
997
7.7%
Other values (9) 1018
7.8%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9970
76.8%
Uppercase Letter 1994
 
15.4%
Space Separator 997
 
7.7%
Decimal Number 18
 
0.1%
Other Punctuation 3
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 1994
20.0%
l 1994
20.0%
e 997
10.0%
o 997
10.0%
i 997
10.0%
b 997
10.0%
v 997
10.0%
t 997
10.0%
Decimal Number
ValueCountFrequency (%)
1 5
27.8%
9 4
22.2%
6 3
16.7%
4 3
16.7%
0 1
 
5.6%
7 1
 
5.6%
2 1
 
5.6%
Uppercase Letter
ValueCountFrequency (%)
N 997
50.0%
A 997
50.0%
Space Separator
ValueCountFrequency (%)
997
100.0%
Other Punctuation
ValueCountFrequency (%)
. 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11964
92.2%
Common 1018
 
7.8%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 1994
16.7%
l 1994
16.7%
N 997
8.3%
e 997
8.3%
o 997
8.3%
i 997
8.3%
b 997
8.3%
v 997
8.3%
A 997
8.3%
t 997
8.3%
Common
ValueCountFrequency (%)
997
97.9%
1 5
 
0.5%
9 4
 
0.4%
. 3
 
0.3%
6 3
 
0.3%
4 3
 
0.3%
0 1
 
0.1%
7 1
 
0.1%
2 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12982
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1994
15.4%
l 1994
15.4%
N 997
7.7%
e 997
7.7%
o 997
7.7%
i 997
7.7%
b 997
7.7%
v 997
7.7%
A 997
7.7%
997
7.7%
Other values (9) 1018
7.8%
Distinct3
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size68.5 KiB
2023-12-09T21:03:29.997582image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.984
Min length5

Characters and Unicode

Total characters12984
Distinct characters17
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2 ?
Unique (%)0.2%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 998
49.9%
available 998
49.9%
41501 1
 
0.1%
69019 1
 
0.1%
2023-12-09T21:03:30.302950image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
l 1996
15.4%
a 1996
15.4%
e 998
7.7%
b 998
7.7%
o 998
7.7%
i 998
7.7%
N 998
7.7%
v 998
7.7%
A 998
7.7%
998
7.7%
Other values (7) 1008
7.8%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9980
76.9%
Uppercase Letter 1996
 
15.4%
Space Separator 998
 
7.7%
Decimal Number 10
 
0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
l 1996
20.0%
a 1996
20.0%
e 998
10.0%
b 998
10.0%
o 998
10.0%
i 998
10.0%
v 998
10.0%
t 998
10.0%
Decimal Number
ValueCountFrequency (%)
1 3
30.0%
0 2
20.0%
9 2
20.0%
4 1
 
10.0%
5 1
 
10.0%
6 1
 
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 998
50.0%
A 998
50.0%
Space Separator
ValueCountFrequency (%)
998
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11976
92.2%
Common 1008
 
7.8%

Most frequent character per script

Latin
ValueCountFrequency (%)
l 1996
16.7%
a 1996
16.7%
e 998
8.3%
b 998
8.3%
o 998
8.3%
i 998
8.3%
N 998
8.3%
v 998
8.3%
A 998
8.3%
t 998
8.3%
Common
ValueCountFrequency (%)
998
99.0%
1 3
 
0.3%
0 2
 
0.2%
9 2
 
0.2%
4 1
 
0.1%
5 1
 
0.1%
6 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12984
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
l 1996
15.4%
a 1996
15.4%
e 998
7.7%
b 998
7.7%
o 998
7.7%
i 998
7.7%
N 998
7.7%
v 998
7.7%
A 998
7.7%
998
7.7%
Other values (7) 1008
7.8%
Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size68.5 KiB
2023-12-09T21:03:30.473426image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.992
Min length5

Characters and Unicode

Total characters12992
Distinct characters13
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)0.1%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 999
50.0%
available 999
50.0%
60000 1
 
0.1%
2023-12-09T21:03:30.775215image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1998
15.4%
l 1998
15.4%
N 999
7.7%
o 999
7.7%
t 999
7.7%
999
7.7%
A 999
7.7%
v 999
7.7%
i 999
7.7%
b 999
7.7%
Other values (3) 1004
7.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9990
76.9%
Uppercase Letter 1998
 
15.4%
Space Separator 999
 
7.7%
Decimal Number 5
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 1998
20.0%
l 1998
20.0%
o 999
10.0%
t 999
10.0%
v 999
10.0%
i 999
10.0%
b 999
10.0%
e 999
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 999
50.0%
A 999
50.0%
Decimal Number
ValueCountFrequency (%)
0 4
80.0%
6 1
 
20.0%
Space Separator
ValueCountFrequency (%)
999
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11988
92.3%
Common 1004
 
7.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 1998
16.7%
l 1998
16.7%
N 999
8.3%
o 999
8.3%
t 999
8.3%
A 999
8.3%
v 999
8.3%
i 999
8.3%
b 999
8.3%
e 999
8.3%
Common
ValueCountFrequency (%)
999
99.5%
0 4
 
0.4%
6 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12992
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1998
15.4%
l 1998
15.4%
N 999
7.7%
o 999
7.7%
t 999
7.7%
999
7.7%
A 999
7.7%
v 999
7.7%
i 999
7.7%
b 999
7.7%
Other values (3) 1004
7.7%
Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size68.5 KiB
2023-12-09T21:03:30.945118image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.989
Min length2

Characters and Unicode

Total characters12989
Distinct characters13
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)0.1%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 999
50.0%
available 999
50.0%
40 1
 
0.1%
2023-12-09T21:03:31.241670image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1998
15.4%
l 1998
15.4%
N 999
7.7%
o 999
7.7%
t 999
7.7%
999
7.7%
A 999
7.7%
v 999
7.7%
i 999
7.7%
b 999
7.7%
Other values (3) 1001
7.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9990
76.9%
Uppercase Letter 1998
 
15.4%
Space Separator 999
 
7.7%
Decimal Number 2
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 1998
20.0%
l 1998
20.0%
o 999
10.0%
t 999
10.0%
v 999
10.0%
i 999
10.0%
b 999
10.0%
e 999
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 999
50.0%
A 999
50.0%
Decimal Number
ValueCountFrequency (%)
4 1
50.0%
0 1
50.0%
Space Separator
ValueCountFrequency (%)
999
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11988
92.3%
Common 1001
 
7.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 1998
16.7%
l 1998
16.7%
N 999
8.3%
o 999
8.3%
t 999
8.3%
A 999
8.3%
v 999
8.3%
i 999
8.3%
b 999
8.3%
e 999
8.3%
Common
ValueCountFrequency (%)
999
99.8%
4 1
 
0.1%
0 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12989
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1998
15.4%
l 1998
15.4%
N 999
7.7%
o 999
7.7%
t 999
7.7%
999
7.7%
A 999
7.7%
v 999
7.7%
i 999
7.7%
b 999
7.7%
Other values (3) 1001
7.7%
Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size68.5 KiB
2023-12-09T21:03:31.417444image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.988
Min length1

Characters and Unicode

Total characters12988
Distinct characters12
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)0.1%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 999
50.0%
available 999
50.0%
5 1
 
0.1%
2023-12-09T21:03:31.721288image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1998
15.4%
l 1998
15.4%
N 999
7.7%
o 999
7.7%
t 999
7.7%
999
7.7%
A 999
7.7%
v 999
7.7%
i 999
7.7%
b 999
7.7%
Other values (2) 1000
7.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9990
76.9%
Uppercase Letter 1998
 
15.4%
Space Separator 999
 
7.7%
Decimal Number 1
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 1998
20.0%
l 1998
20.0%
o 999
10.0%
t 999
10.0%
v 999
10.0%
i 999
10.0%
b 999
10.0%
e 999
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 999
50.0%
A 999
50.0%
Space Separator
ValueCountFrequency (%)
999
100.0%
Decimal Number
ValueCountFrequency (%)
5 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11988
92.3%
Common 1000
 
7.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 1998
16.7%
l 1998
16.7%
N 999
8.3%
o 999
8.3%
t 999
8.3%
A 999
8.3%
v 999
8.3%
i 999
8.3%
b 999
8.3%
e 999
8.3%
Common
ValueCountFrequency (%)
999
99.9%
5 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12988
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1998
15.4%
l 1998
15.4%
N 999
7.7%
o 999
7.7%
t 999
7.7%
999
7.7%
A 999
7.7%
v 999
7.7%
i 999
7.7%
b 999
7.7%
Other values (2) 1000
7.7%
Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size68.5 KiB
2023-12-09T21:03:31.896930image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.992
Min length5

Characters and Unicode

Total characters12992
Distinct characters15
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)0.1%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 999
50.0%
available 999
50.0%
85082 1
 
0.1%
2023-12-09T21:03:32.216338image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1998
15.4%
l 1998
15.4%
N 999
7.7%
o 999
7.7%
t 999
7.7%
999
7.7%
A 999
7.7%
v 999
7.7%
i 999
7.7%
b 999
7.7%
Other values (5) 1004
7.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9990
76.9%
Uppercase Letter 1998
 
15.4%
Space Separator 999
 
7.7%
Decimal Number 5
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 1998
20.0%
l 1998
20.0%
o 999
10.0%
t 999
10.0%
v 999
10.0%
i 999
10.0%
b 999
10.0%
e 999
10.0%
Decimal Number
ValueCountFrequency (%)
8 2
40.0%
5 1
20.0%
0 1
20.0%
2 1
20.0%
Uppercase Letter
ValueCountFrequency (%)
N 999
50.0%
A 999
50.0%
Space Separator
ValueCountFrequency (%)
999
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11988
92.3%
Common 1004
 
7.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 1998
16.7%
l 1998
16.7%
N 999
8.3%
o 999
8.3%
t 999
8.3%
A 999
8.3%
v 999
8.3%
i 999
8.3%
b 999
8.3%
e 999
8.3%
Common
ValueCountFrequency (%)
999
99.5%
8 2
 
0.2%
5 1
 
0.1%
0 1
 
0.1%
2 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12992
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1998
15.4%
l 1998
15.4%
N 999
7.7%
o 999
7.7%
t 999
7.7%
999
7.7%
A 999
7.7%
v 999
7.7%
i 999
7.7%
b 999
7.7%
Other values (5) 1004
7.7%
Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size68.5 KiB
2023-12-09T21:03:32.401890image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.995
Min length8

Characters and Unicode

Total characters12995
Distinct characters16
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)0.1%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 999
50.0%
available 999
50.0%
100 1
 
< 0.1%
yes 1
 
< 0.1%
2023-12-09T21:03:32.691698image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1998
15.4%
l 1998
15.4%
1000
7.7%
e 1000
7.7%
N 999
7.7%
o 999
7.7%
t 999
7.7%
A 999
7.7%
v 999
7.7%
i 999
7.7%
Other values (6) 1005
7.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9992
76.9%
Uppercase Letter 1999
 
15.4%
Space Separator 1000
 
7.7%
Decimal Number 3
 
< 0.1%
Other Punctuation 1
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 1998
20.0%
l 1998
20.0%
e 1000
10.0%
o 999
10.0%
t 999
10.0%
v 999
10.0%
i 999
10.0%
b 999
10.0%
s 1
 
< 0.1%
Uppercase Letter
ValueCountFrequency (%)
N 999
50.0%
A 999
50.0%
Y 1
 
0.1%
Decimal Number
ValueCountFrequency (%)
0 2
66.7%
1 1
33.3%
Space Separator
ValueCountFrequency (%)
1000
100.0%
Other Punctuation
ValueCountFrequency (%)
% 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11991
92.3%
Common 1004
 
7.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 1998
16.7%
l 1998
16.7%
e 1000
8.3%
N 999
8.3%
o 999
8.3%
t 999
8.3%
A 999
8.3%
v 999
8.3%
i 999
8.3%
b 999
8.3%
Other values (2) 2
 
< 0.1%
Common
ValueCountFrequency (%)
1000
99.6%
0 2
 
0.2%
1 1
 
0.1%
% 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12995
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1998
15.4%
l 1998
15.4%
1000
7.7%
e 1000
7.7%
N 999
7.7%
o 999
7.7%
t 999
7.7%
A 999
7.7%
v 999
7.7%
i 999
7.7%
Other values (6) 1005
7.7%
Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size68.5 KiB
2023-12-09T21:03:32.865394image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length13
Min length13

Characters and Unicode

Total characters13000
Distinct characters11
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 1000
50.0%
available 1000
50.0%
2023-12-09T21:03:33.186992image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 2000
15.4%
l 2000
15.4%
N 1000
7.7%
o 1000
7.7%
t 1000
7.7%
1000
7.7%
A 1000
7.7%
v 1000
7.7%
i 1000
7.7%
b 1000
7.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 10000
76.9%
Uppercase Letter 2000
 
15.4%
Space Separator 1000
 
7.7%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 2000
20.0%
l 2000
20.0%
o 1000
10.0%
t 1000
10.0%
v 1000
10.0%
i 1000
10.0%
b 1000
10.0%
e 1000
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 1000
50.0%
A 1000
50.0%
Space Separator
ValueCountFrequency (%)
1000
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 12000
92.3%
Common 1000
 
7.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 2000
16.7%
l 2000
16.7%
N 1000
8.3%
o 1000
8.3%
t 1000
8.3%
A 1000
8.3%
v 1000
8.3%
i 1000
8.3%
b 1000
8.3%
e 1000
8.3%
Common
ValueCountFrequency (%)
1000
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 13000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 2000
15.4%
l 2000
15.4%
N 1000
7.7%
o 1000
7.7%
t 1000
7.7%
1000
7.7%
A 1000
7.7%
v 1000
7.7%
i 1000
7.7%
b 1000
7.7%
Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size68.5 KiB
2023-12-09T21:03:33.430522image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length13
Min length13

Characters and Unicode

Total characters13000
Distinct characters11
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 1000
50.0%
available 1000
50.0%
2023-12-09T21:03:33.717536image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 2000
15.4%
l 2000
15.4%
N 1000
7.7%
o 1000
7.7%
t 1000
7.7%
1000
7.7%
A 1000
7.7%
v 1000
7.7%
i 1000
7.7%
b 1000
7.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 10000
76.9%
Uppercase Letter 2000
 
15.4%
Space Separator 1000
 
7.7%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 2000
20.0%
l 2000
20.0%
o 1000
10.0%
t 1000
10.0%
v 1000
10.0%
i 1000
10.0%
b 1000
10.0%
e 1000
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 1000
50.0%
A 1000
50.0%
Space Separator
ValueCountFrequency (%)
1000
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 12000
92.3%
Common 1000
 
7.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 2000
16.7%
l 2000
16.7%
N 1000
8.3%
o 1000
8.3%
t 1000
8.3%
A 1000
8.3%
v 1000
8.3%
i 1000
8.3%
b 1000
8.3%
e 1000
8.3%
Common
ValueCountFrequency (%)
1000
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 13000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 2000
15.4%
l 2000
15.4%
N 1000
7.7%
o 1000
7.7%
t 1000
7.7%
1000
7.7%
A 1000
7.7%
v 1000
7.7%
i 1000
7.7%
b 1000
7.7%
Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size57.8 KiB
2023-12-09T21:03:33.830754image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length3
Median length2
Mean length2.008
Min length2

Characters and Unicode

Total characters2008
Distinct characters5
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNo
2nd rowNo
3rd rowNo
4th rowNo
5th rowNo
ValueCountFrequency (%)
no 992
99.2%
yes 8
 
0.8%
2023-12-09T21:03:34.066663image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
N 992
49.4%
o 992
49.4%
Y 8
 
0.4%
e 8
 
0.4%
s 8
 
0.4%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 1008
50.2%
Uppercase Letter 1000
49.8%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
o 992
98.4%
e 8
 
0.8%
s 8
 
0.8%
Uppercase Letter
ValueCountFrequency (%)
N 992
99.2%
Y 8
 
0.8%

Most occurring scripts

ValueCountFrequency (%)
Latin 2008
100.0%

Most frequent character per script

Latin
ValueCountFrequency (%)
N 992
49.4%
o 992
49.4%
Y 8
 
0.4%
e 8
 
0.4%
s 8
 
0.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2008
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
N 992
49.4%
o 992
49.4%
Y 8
 
0.4%
e 8
 
0.4%
s 8
 
0.4%
Distinct3
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size58.4 KiB
2023-12-09T21:03:34.191762image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length2
Mean length2.721
Min length2

Characters and Unicode

Total characters2721
Distinct characters13
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNo
4th rowNo
5th rowNo
ValueCountFrequency (%)
no 929
87.2%
not 65
 
6.1%
available 65
 
6.1%
yes 6
 
0.6%
2023-12-09T21:03:34.443442image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
N 994
36.5%
o 994
36.5%
a 130
 
4.8%
l 130
 
4.8%
e 71
 
2.6%
t 65
 
2.4%
65
 
2.4%
A 65
 
2.4%
v 65
 
2.4%
i 65
 
2.4%
Other values (3) 77
 
2.8%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 1591
58.5%
Uppercase Letter 1065
39.1%
Space Separator 65
 
2.4%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
o 994
62.5%
a 130
 
8.2%
l 130
 
8.2%
e 71
 
4.5%
t 65
 
4.1%
v 65
 
4.1%
i 65
 
4.1%
b 65
 
4.1%
s 6
 
0.4%
Uppercase Letter
ValueCountFrequency (%)
N 994
93.3%
A 65
 
6.1%
Y 6
 
0.6%
Space Separator
ValueCountFrequency (%)
65
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 2656
97.6%
Common 65
 
2.4%

Most frequent character per script

Latin
ValueCountFrequency (%)
N 994
37.4%
o 994
37.4%
a 130
 
4.9%
l 130
 
4.9%
e 71
 
2.7%
t 65
 
2.4%
A 65
 
2.4%
v 65
 
2.4%
i 65
 
2.4%
b 65
 
2.4%
Other values (2) 12
 
0.5%
Common
ValueCountFrequency (%)
65
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2721
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
N 994
36.5%
o 994
36.5%
a 130
 
4.8%
l 130
 
4.8%
e 71
 
2.6%
t 65
 
2.4%
65
 
2.4%
A 65
 
2.4%
v 65
 
2.4%
i 65
 
2.4%
Other values (3) 77
 
2.8%
Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size68.5 KiB
2023-12-09T21:03:34.619987image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length13
Min length13

Characters and Unicode

Total characters13000
Distinct characters11
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 1000
50.0%
available 1000
50.0%
2023-12-09T21:03:34.901395image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 2000
15.4%
l 2000
15.4%
N 1000
7.7%
o 1000
7.7%
t 1000
7.7%
1000
7.7%
A 1000
7.7%
v 1000
7.7%
i 1000
7.7%
b 1000
7.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 10000
76.9%
Uppercase Letter 2000
 
15.4%
Space Separator 1000
 
7.7%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 2000
20.0%
l 2000
20.0%
o 1000
10.0%
t 1000
10.0%
v 1000
10.0%
i 1000
10.0%
b 1000
10.0%
e 1000
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 1000
50.0%
A 1000
50.0%
Space Separator
ValueCountFrequency (%)
1000
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 12000
92.3%
Common 1000
 
7.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 2000
16.7%
l 2000
16.7%
N 1000
8.3%
o 1000
8.3%
t 1000
8.3%
A 1000
8.3%
v 1000
8.3%
i 1000
8.3%
b 1000
8.3%
e 1000
8.3%
Common
ValueCountFrequency (%)
1000
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 13000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 2000
15.4%
l 2000
15.4%
N 1000
7.7%
o 1000
7.7%
t 1000
7.7%
1000
7.7%
A 1000
7.7%
v 1000
7.7%
i 1000
7.7%
b 1000
7.7%
Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size61.9 KiB
2023-12-09T21:03:35.055253image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length2
Mean length6.301
Min length2

Characters and Unicode

Total characters6301
Distinct characters11
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
no 609
43.8%
not 391
28.1%
available 391
28.1%
2023-12-09T21:03:35.341446image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
N 1000
15.9%
o 1000
15.9%
a 782
12.4%
l 782
12.4%
t 391
 
6.2%
391
 
6.2%
A 391
 
6.2%
v 391
 
6.2%
i 391
 
6.2%
b 391
 
6.2%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 4519
71.7%
Uppercase Letter 1391
 
22.1%
Space Separator 391
 
6.2%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
o 1000
22.1%
a 782
17.3%
l 782
17.3%
t 391
 
8.7%
v 391
 
8.7%
i 391
 
8.7%
b 391
 
8.7%
e 391
 
8.7%
Uppercase Letter
ValueCountFrequency (%)
N 1000
71.9%
A 391
 
28.1%
Space Separator
ValueCountFrequency (%)
391
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 5910
93.8%
Common 391
 
6.2%

Most frequent character per script

Latin
ValueCountFrequency (%)
N 1000
16.9%
o 1000
16.9%
a 782
13.2%
l 782
13.2%
t 391
 
6.6%
A 391
 
6.6%
v 391
 
6.6%
i 391
 
6.6%
b 391
 
6.6%
e 391
 
6.6%
Common
ValueCountFrequency (%)
391
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6301
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
N 1000
15.9%
o 1000
15.9%
a 782
12.4%
l 782
12.4%
t 391
 
6.2%
391
 
6.2%
A 391
 
6.2%
v 391
 
6.2%
i 391
 
6.2%
b 391
 
6.2%
Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size65.6 KiB
2023-12-09T21:03:35.518643image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length10.019
Min length2

Characters and Unicode

Total characters10019
Distinct characters11
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 729
42.2%
available 729
42.2%
no 271
 
15.7%
2023-12-09T21:03:35.818267image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1458
14.6%
l 1458
14.6%
N 1000
10.0%
o 1000
10.0%
t 729
7.3%
729
7.3%
A 729
7.3%
v 729
7.3%
i 729
7.3%
b 729
7.3%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 7561
75.5%
Uppercase Letter 1729
 
17.3%
Space Separator 729
 
7.3%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 1458
19.3%
l 1458
19.3%
o 1000
13.2%
t 729
9.6%
v 729
9.6%
i 729
9.6%
b 729
9.6%
e 729
9.6%
Uppercase Letter
ValueCountFrequency (%)
N 1000
57.8%
A 729
42.2%
Space Separator
ValueCountFrequency (%)
729
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 9290
92.7%
Common 729
 
7.3%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 1458
15.7%
l 1458
15.7%
N 1000
10.8%
o 1000
10.8%
t 729
7.8%
A 729
7.8%
v 729
7.8%
i 729
7.8%
b 729
7.8%
e 729
7.8%
Common
ValueCountFrequency (%)
729
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 10019
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1458
14.6%
l 1458
14.6%
N 1000
10.0%
o 1000
10.0%
t 729
7.3%
729
7.3%
A 729
7.3%
v 729
7.3%
i 729
7.3%
b 729
7.3%
Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size66.5 KiB
2023-12-09T21:03:35.987507image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length10.987
Min length2

Characters and Unicode

Total characters10987
Distinct characters11
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 817
45.0%
available 817
45.0%
no 183
 
10.1%
2023-12-09T21:03:36.268771image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1634
14.9%
l 1634
14.9%
N 1000
9.1%
o 1000
9.1%
t 817
7.4%
817
7.4%
A 817
7.4%
v 817
7.4%
i 817
7.4%
b 817
7.4%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 8353
76.0%
Uppercase Letter 1817
 
16.5%
Space Separator 817
 
7.4%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 1634
19.6%
l 1634
19.6%
o 1000
12.0%
t 817
9.8%
v 817
9.8%
i 817
9.8%
b 817
9.8%
e 817
9.8%
Uppercase Letter
ValueCountFrequency (%)
N 1000
55.0%
A 817
45.0%
Space Separator
ValueCountFrequency (%)
817
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 10170
92.6%
Common 817
 
7.4%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 1634
16.1%
l 1634
16.1%
N 1000
9.8%
o 1000
9.8%
t 817
8.0%
A 817
8.0%
v 817
8.0%
i 817
8.0%
b 817
8.0%
e 817
8.0%
Common
ValueCountFrequency (%)
817
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 10987
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1634
14.9%
l 1634
14.9%
N 1000
9.1%
o 1000
9.1%
t 817
7.4%
817
7.4%
A 817
7.4%
v 817
7.4%
i 817
7.4%
b 817
7.4%
Distinct3
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size67.2 KiB
2023-12-09T21:03:36.439751image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length11.67
Min length2

Characters and Unicode

Total characters11670
Distinct characters13
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)0.1%

Sample

1st rowNo
2nd rowNo
3rd rowNo
4th rowNo
5th rowNo
ValueCountFrequency (%)
not 879
46.8%
available 879
46.8%
no 120
 
6.4%
yes 1
 
0.1%
2023-12-09T21:03:36.722568image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1758
15.1%
l 1758
15.1%
N 999
8.6%
o 999
8.6%
e 880
7.5%
t 879
7.5%
879
7.5%
A 879
7.5%
v 879
7.5%
i 879
7.5%
Other values (3) 881
7.5%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 8912
76.4%
Uppercase Letter 1879
 
16.1%
Space Separator 879
 
7.5%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 1758
19.7%
l 1758
19.7%
o 999
11.2%
e 880
9.9%
t 879
9.9%
v 879
9.9%
i 879
9.9%
b 879
9.9%
s 1
 
< 0.1%
Uppercase Letter
ValueCountFrequency (%)
N 999
53.2%
A 879
46.8%
Y 1
 
0.1%
Space Separator
ValueCountFrequency (%)
879
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 10791
92.5%
Common 879
 
7.5%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 1758
16.3%
l 1758
16.3%
N 999
9.3%
o 999
9.3%
e 880
8.2%
t 879
8.1%
A 879
8.1%
v 879
8.1%
i 879
8.1%
b 879
8.1%
Other values (2) 2
 
< 0.1%
Common
ValueCountFrequency (%)
879
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 11670
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1758
15.1%
l 1758
15.1%
N 999
8.6%
o 999
8.6%
e 880
7.5%
t 879
7.5%
879
7.5%
A 879
7.5%
v 879
7.5%
i 879
7.5%
Other values (3) 881
7.5%
Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size68.3 KiB
2023-12-09T21:03:36.889392image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.835
Min length2

Characters and Unicode

Total characters12835
Distinct characters11
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 985
49.6%
available 985
49.6%
no 15
 
0.8%
2023-12-09T21:03:37.172822image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1970
15.3%
l 1970
15.3%
N 1000
7.8%
o 1000
7.8%
t 985
7.7%
985
7.7%
A 985
7.7%
v 985
7.7%
i 985
7.7%
b 985
7.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9865
76.9%
Uppercase Letter 1985
 
15.5%
Space Separator 985
 
7.7%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 1970
20.0%
l 1970
20.0%
o 1000
10.1%
t 985
10.0%
v 985
10.0%
i 985
10.0%
b 985
10.0%
e 985
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 1000
50.4%
A 985
49.6%
Space Separator
ValueCountFrequency (%)
985
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11850
92.3%
Common 985
 
7.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 1970
16.6%
l 1970
16.6%
N 1000
8.4%
o 1000
8.4%
t 985
8.3%
A 985
8.3%
v 985
8.3%
i 985
8.3%
b 985
8.3%
e 985
8.3%
Common
ValueCountFrequency (%)
985
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12835
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1970
15.3%
l 1970
15.3%
N 1000
7.8%
o 1000
7.8%
t 985
7.7%
985
7.7%
A 985
7.7%
v 985
7.7%
i 985
7.7%
b 985
7.7%
Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size57.8 KiB
2023-12-09T21:03:37.282479image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length3
Median length2
Mean length2.015
Min length2

Characters and Unicode

Total characters2015
Distinct characters5
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNo
2nd rowNo
3rd rowNo
4th rowNo
5th rowNo
ValueCountFrequency (%)
no 985
98.5%
yes 15
 
1.5%
2023-12-09T21:03:37.506274image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
N 985
48.9%
o 985
48.9%
Y 15
 
0.7%
e 15
 
0.7%
s 15
 
0.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 1015
50.4%
Uppercase Letter 1000
49.6%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
o 985
97.0%
e 15
 
1.5%
s 15
 
1.5%
Uppercase Letter
ValueCountFrequency (%)
N 985
98.5%
Y 15
 
1.5%

Most occurring scripts

ValueCountFrequency (%)
Latin 2015
100.0%

Most frequent character per script

Latin
ValueCountFrequency (%)
N 985
48.9%
o 985
48.9%
Y 15
 
0.7%
e 15
 
0.7%
s 15
 
0.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2015
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
N 985
48.9%
o 985
48.9%
Y 15
 
0.7%
e 15
 
0.7%
s 15
 
0.7%
Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size67.5 KiB
2023-12-09T21:03:37.670102image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length33
Median length2
Mean length12.013
Min length2

Characters and Unicode

Total characters12013
Distinct characters19
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowUnable to Check (not enough data)
2nd rowNo
3rd rowUnable to Check (not enough data)
4th rowUnable to Check (not enough data)
5th rowUnable to Check (not enough data)
ValueCountFrequency (%)
no 677
25.9%
unable 323
12.4%
to 323
12.4%
check 323
12.4%
not 323
12.4%
enough 323
12.4%
data 323
12.4%
2023-12-09T21:03:37.957898image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
o 1646
13.7%
1615
13.4%
t 969
 
8.1%
e 969
 
8.1%
n 969
 
8.1%
a 969
 
8.1%
N 677
 
5.6%
h 646
 
5.4%
l 323
 
2.7%
b 323
 
2.7%
Other values (9) 2907
24.2%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 8429
70.2%
Space Separator 1615
 
13.4%
Uppercase Letter 1323
 
11.0%
Open Punctuation 323
 
2.7%
Close Punctuation 323
 
2.7%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
o 1646
19.5%
t 969
11.5%
e 969
11.5%
n 969
11.5%
a 969
11.5%
h 646
 
7.7%
l 323
 
3.8%
b 323
 
3.8%
c 323
 
3.8%
k 323
 
3.8%
Other values (3) 969
11.5%
Uppercase Letter
ValueCountFrequency (%)
N 677
51.2%
U 323
24.4%
C 323
24.4%
Space Separator
ValueCountFrequency (%)
1615
100.0%
Open Punctuation
ValueCountFrequency (%)
( 323
100.0%
Close Punctuation
ValueCountFrequency (%)
) 323
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 9752
81.2%
Common 2261
 
18.8%

Most frequent character per script

Latin
ValueCountFrequency (%)
o 1646
16.9%
t 969
9.9%
e 969
9.9%
n 969
9.9%
a 969
9.9%
N 677
 
6.9%
h 646
 
6.6%
l 323
 
3.3%
b 323
 
3.3%
U 323
 
3.3%
Other values (6) 1938
19.9%
Common
ValueCountFrequency (%)
1615
71.4%
( 323
 
14.3%
) 323
 
14.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12013
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
o 1646
13.7%
1615
13.4%
t 969
 
8.1%
e 969
 
8.1%
n 969
 
8.1%
a 969
 
8.1%
N 677
 
5.6%
h 646
 
5.4%
l 323
 
2.7%
b 323
 
2.7%
Other values (9) 2907
24.2%
Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size57.7 KiB
2023-12-09T21:03:38.064606image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length2
Median length2
Mean length2
Min length2

Characters and Unicode

Total characters2000
Distinct characters2
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowOk
2nd rowOk
3rd rowOk
4th rowOk
5th rowOk
ValueCountFrequency (%)
ok 1000
100.0%
2023-12-09T21:03:38.277690image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
O 1000
50.0%
k 1000
50.0%

Most occurring categories

ValueCountFrequency (%)
Uppercase Letter 1000
50.0%
Lowercase Letter 1000
50.0%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
O 1000
100.0%
Lowercase Letter
ValueCountFrequency (%)
k 1000
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 2000
100.0%

Most frequent character per script

Latin
ValueCountFrequency (%)
O 1000
50.0%
k 1000
50.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
O 1000
50.0%
k 1000
50.0%
Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size57.7 KiB
2023-12-09T21:03:38.379799image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length2
Median length2
Mean length2
Min length2

Characters and Unicode

Total characters2000
Distinct characters2
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowOk
2nd rowOk
3rd rowOk
4th rowOk
5th rowOk
ValueCountFrequency (%)
ok 1000
100.0%
2023-12-09T21:03:38.591582image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
O 1000
50.0%
k 1000
50.0%

Most occurring categories

ValueCountFrequency (%)
Uppercase Letter 1000
50.0%
Lowercase Letter 1000
50.0%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
O 1000
100.0%
Lowercase Letter
ValueCountFrequency (%)
k 1000
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 2000
100.0%

Most frequent character per script

Latin
ValueCountFrequency (%)
O 1000
50.0%
k 1000
50.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
O 1000
50.0%
k 1000
50.0%
Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size57.8 KiB
2023-12-09T21:03:38.721276image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length14
Median length2
Mean length2.012
Min length2

Characters and Unicode

Total characters2012
Distinct characters12
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)0.1%

Sample

1st rowOk
2nd rowOk
3rd rowOk
4th rowOk
5th rowOk
ValueCountFrequency (%)
ok 999
99.8%
possible 1
 
0.1%
issue 1
 
0.1%
2023-12-09T21:03:38.969751image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
O 999
49.7%
k 999
49.7%
s 4
 
0.2%
e 2
 
0.1%
P 1
 
< 0.1%
o 1
 
< 0.1%
i 1
 
< 0.1%
b 1
 
< 0.1%
l 1
 
< 0.1%
1
 
< 0.1%
Other values (2) 2
 
0.1%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 1010
50.2%
Uppercase Letter 1001
49.8%
Space Separator 1
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
k 999
98.9%
s 4
 
0.4%
e 2
 
0.2%
o 1
 
0.1%
i 1
 
0.1%
b 1
 
0.1%
l 1
 
0.1%
u 1
 
0.1%
Uppercase Letter
ValueCountFrequency (%)
O 999
99.8%
P 1
 
0.1%
I 1
 
0.1%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 2011
> 99.9%
Common 1
 
< 0.1%

Most frequent character per script

Latin
ValueCountFrequency (%)
O 999
49.7%
k 999
49.7%
s 4
 
0.2%
e 2
 
0.1%
P 1
 
< 0.1%
o 1
 
< 0.1%
i 1
 
< 0.1%
b 1
 
< 0.1%
l 1
 
< 0.1%
I 1
 
< 0.1%
Common
ValueCountFrequency (%)
1
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2012
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
O 999
49.7%
k 999
49.7%
s 4
 
0.2%
e 2
 
0.1%
P 1
 
< 0.1%
o 1
 
< 0.1%
i 1
 
< 0.1%
b 1
 
< 0.1%
l 1
 
< 0.1%
1
 
< 0.1%
Other values (2) 2
 
0.1%
Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size57.7 KiB
2023-12-09T21:03:39.071077image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length2
Median length2
Mean length2
Min length2

Characters and Unicode

Total characters2000
Distinct characters2
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowOk
2nd rowOk
3rd rowOk
4th rowOk
5th rowOk
ValueCountFrequency (%)
ok 1000
100.0%
2023-12-09T21:03:39.281425image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
O 1000
50.0%
k 1000
50.0%

Most occurring categories

ValueCountFrequency (%)
Uppercase Letter 1000
50.0%
Lowercase Letter 1000
50.0%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
O 1000
100.0%
Lowercase Letter
ValueCountFrequency (%)
k 1000
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 2000
100.0%

Most frequent character per script

Latin
ValueCountFrequency (%)
O 1000
50.0%
k 1000
50.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
O 1000
50.0%
k 1000
50.0%
Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size57.7 KiB
2023-12-09T21:03:39.381945image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length2
Median length2
Mean length2
Min length2

Characters and Unicode

Total characters2000
Distinct characters2
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowOk
2nd rowOk
3rd rowOk
4th rowOk
5th rowOk
ValueCountFrequency (%)
ok 1000
100.0%
2023-12-09T21:03:39.591506image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
O 1000
50.0%
k 1000
50.0%

Most occurring categories

ValueCountFrequency (%)
Uppercase Letter 1000
50.0%
Lowercase Letter 1000
50.0%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
O 1000
100.0%
Lowercase Letter
ValueCountFrequency (%)
k 1000
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 2000
100.0%

Most frequent character per script

Latin
ValueCountFrequency (%)
O 1000
50.0%
k 1000
50.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
O 1000
50.0%
k 1000
50.0%
Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size57.8 KiB
2023-12-09T21:03:39.721479image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length14
Median length2
Mean length2.048
Min length2

Characters and Unicode

Total characters2048
Distinct characters12
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowOk
2nd rowOk
3rd rowOk
4th rowOk
5th rowOk
ValueCountFrequency (%)
ok 996
99.2%
possible 4
 
0.4%
issue 4
 
0.4%
2023-12-09T21:03:39.970464image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
O 996
48.6%
k 996
48.6%
s 16
 
0.8%
e 8
 
0.4%
P 4
 
0.2%
o 4
 
0.2%
i 4
 
0.2%
b 4
 
0.2%
l 4
 
0.2%
4
 
0.2%
Other values (2) 8
 
0.4%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 1040
50.8%
Uppercase Letter 1004
49.0%
Space Separator 4
 
0.2%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
k 996
95.8%
s 16
 
1.5%
e 8
 
0.8%
o 4
 
0.4%
i 4
 
0.4%
b 4
 
0.4%
l 4
 
0.4%
u 4
 
0.4%
Uppercase Letter
ValueCountFrequency (%)
O 996
99.2%
P 4
 
0.4%
I 4
 
0.4%
Space Separator
ValueCountFrequency (%)
4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 2044
99.8%
Common 4
 
0.2%

Most frequent character per script

Latin
ValueCountFrequency (%)
O 996
48.7%
k 996
48.7%
s 16
 
0.8%
e 8
 
0.4%
P 4
 
0.2%
o 4
 
0.2%
i 4
 
0.2%
b 4
 
0.2%
l 4
 
0.2%
I 4
 
0.2%
Common
ValueCountFrequency (%)
4
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2048
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
O 996
48.6%
k 996
48.6%
s 16
 
0.8%
e 8
 
0.4%
P 4
 
0.2%
o 4
 
0.2%
i 4
 
0.2%
b 4
 
0.2%
l 4
 
0.2%
4
 
0.2%
Other values (2) 8
 
0.4%
Distinct3
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size67.8 KiB
2023-12-09T21:03:40.145213image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length33
Median length2
Mean length12.289
Min length2

Characters and Unicode

Total characters12289
Distinct characters23
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowUnable to Check (not enough data)
2nd rowOk
3rd rowUnable to Check (not enough data)
4th rowUnable to Check (not enough data)
5th rowUnable to Check (not enough data)
ValueCountFrequency (%)
ok 654
24.8%
unable 323
12.2%
to 323
12.2%
check 323
12.2%
not 323
12.2%
enough 323
12.2%
data 323
12.2%
possible 23
 
0.9%
issue 23
 
0.9%
2023-12-09T21:03:40.455754image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1638
13.3%
e 1015
 
8.3%
o 992
 
8.1%
k 977
 
8.0%
n 969
 
7.9%
a 969
 
7.9%
t 969
 
7.9%
O 654
 
5.3%
h 646
 
5.3%
u 346
 
2.8%
Other values (13) 3114
25.3%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 8659
70.5%
Space Separator 1638
 
13.3%
Uppercase Letter 1346
 
11.0%
Close Punctuation 323
 
2.6%
Open Punctuation 323
 
2.6%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 1015
11.7%
o 992
11.5%
k 977
11.3%
n 969
11.2%
a 969
11.2%
t 969
11.2%
h 646
7.5%
u 346
 
4.0%
b 346
 
4.0%
l 346
 
4.0%
Other values (5) 1084
12.5%
Uppercase Letter
ValueCountFrequency (%)
O 654
48.6%
C 323
24.0%
U 323
24.0%
P 23
 
1.7%
I 23
 
1.7%
Space Separator
ValueCountFrequency (%)
1638
100.0%
Close Punctuation
ValueCountFrequency (%)
) 323
100.0%
Open Punctuation
ValueCountFrequency (%)
( 323
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 10005
81.4%
Common 2284
 
18.6%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 1015
10.1%
o 992
9.9%
k 977
9.8%
n 969
9.7%
a 969
9.7%
t 969
9.7%
O 654
 
6.5%
h 646
 
6.5%
u 346
 
3.5%
b 346
 
3.5%
Other values (10) 2122
21.2%
Common
ValueCountFrequency (%)
1638
71.7%
) 323
 
14.1%
( 323
 
14.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12289
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1638
13.3%
e 1015
 
8.3%
o 992
 
8.1%
k 977
 
8.0%
n 969
 
7.9%
a 969
 
7.9%
t 969
 
7.9%
O 654
 
5.3%
h 646
 
5.3%
u 346
 
2.8%
Other values (13) 3114
25.3%
Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size57.7 KiB
2023-12-09T21:03:40.565038image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length2
Median length2
Mean length2
Min length2

Characters and Unicode

Total characters2000
Distinct characters2
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowOk
2nd rowOk
3rd rowOk
4th rowOk
5th rowOk
ValueCountFrequency (%)
ok 1000
100.0%
2023-12-09T21:03:40.782280image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
O 1000
50.0%
k 1000
50.0%

Most occurring categories

ValueCountFrequency (%)
Uppercase Letter 1000
50.0%
Lowercase Letter 1000
50.0%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
O 1000
100.0%
Lowercase Letter
ValueCountFrequency (%)
k 1000
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 2000
100.0%

Most frequent character per script

Latin
ValueCountFrequency (%)
O 1000
50.0%
k 1000
50.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
O 1000
50.0%
k 1000
50.0%
Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size57.7 KiB
2023-12-09T21:03:40.891611image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length3
Median length2
Mean length2.006
Min length2

Characters and Unicode

Total characters2006
Distinct characters5
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNo
2nd rowNo
3rd rowNo
4th rowNo
5th rowNo
ValueCountFrequency (%)
no 994
99.4%
yes 6
 
0.6%
2023-12-09T21:03:41.116757image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
N 994
49.6%
o 994
49.6%
Y 6
 
0.3%
e 6
 
0.3%
s 6
 
0.3%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 1006
50.1%
Uppercase Letter 1000
49.9%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
o 994
98.8%
e 6
 
0.6%
s 6
 
0.6%
Uppercase Letter
ValueCountFrequency (%)
N 994
99.4%
Y 6
 
0.6%

Most occurring scripts

ValueCountFrequency (%)
Latin 2006
100.0%

Most frequent character per script

Latin
ValueCountFrequency (%)
N 994
49.6%
o 994
49.6%
Y 6
 
0.3%
e 6
 
0.3%
s 6
 
0.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2006
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
N 994
49.6%
o 994
49.6%
Y 6
 
0.3%
e 6
 
0.3%
s 6
 
0.3%
Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size57.7 KiB
2023-12-09T21:03:41.226752image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length3
Median length2
Mean length2.003
Min length2

Characters and Unicode

Total characters2003
Distinct characters5
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNo
2nd rowNo
3rd rowNo
4th rowNo
5th rowNo
ValueCountFrequency (%)
no 997
99.7%
yes 3
 
0.3%
2023-12-09T21:03:41.451774image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
N 997
49.8%
o 997
49.8%
Y 3
 
0.1%
e 3
 
0.1%
s 3
 
0.1%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 1003
50.1%
Uppercase Letter 1000
49.9%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
o 997
99.4%
e 3
 
0.3%
s 3
 
0.3%
Uppercase Letter
ValueCountFrequency (%)
N 997
99.7%
Y 3
 
0.3%

Most occurring scripts

ValueCountFrequency (%)
Latin 2003
100.0%

Most frequent character per script

Latin
ValueCountFrequency (%)
N 997
49.8%
o 997
49.8%
Y 3
 
0.1%
e 3
 
0.1%
s 3
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2003
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
N 997
49.8%
o 997
49.8%
Y 3
 
0.1%
e 3
 
0.1%
s 3
 
0.1%
Distinct720
Distinct (%)72.0%
Missing0
Missing (%)0.0%
Memory size61.3 KiB
2023-12-09T21:03:41.872702image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length7
Median length6
Mean length5.679
Min length4

Characters and Unicode

Total characters5679
Distinct characters10
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique564 ?
Unique (%)56.4%

Sample

1st row686838
2nd row384432
3rd row577534
4th row390878
5th row1601977
ValueCountFrequency (%)
93600 8
 
0.8%
110400 8
 
0.8%
96000 8
 
0.8%
106800 7
 
0.7%
108000 6
 
0.6%
109200 6
 
0.6%
122400 6
 
0.6%
104400 6
 
0.6%
147600 6
 
0.6%
91200 5
 
0.5%
Other values (710) 934
93.4%
2023-12-09T21:03:42.452774image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 1508
26.6%
1 821
14.5%
2 529
 
9.3%
8 491
 
8.6%
5 467
 
8.2%
6 453
 
8.0%
4 382
 
6.7%
7 356
 
6.3%
9 348
 
6.1%
3 324
 
5.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 5679
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1508
26.6%
1 821
14.5%
2 529
 
9.3%
8 491
 
8.6%
5 467
 
8.2%
6 453
 
8.0%
4 382
 
6.7%
7 356
 
6.3%
9 348
 
6.1%
3 324
 
5.7%

Most occurring scripts

ValueCountFrequency (%)
Common 5679
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 1508
26.6%
1 821
14.5%
2 529
 
9.3%
8 491
 
8.6%
5 467
 
8.2%
6 453
 
8.0%
4 382
 
6.7%
7 356
 
6.3%
9 348
 
6.1%
3 324
 
5.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 5679
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 1508
26.6%
1 821
14.5%
2 529
 
9.3%
8 491
 
8.6%
5 467
 
8.2%
6 453
 
8.0%
4 382
 
6.7%
7 356
 
6.3%
9 348
 
6.1%
3 324
 
5.7%
Distinct721
Distinct (%)72.1%
Missing0
Missing (%)0.0%
Memory size61.3 KiB
2023-12-09T21:03:42.891016image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length8
Median length6
Mean length5.689
Min length4

Characters and Unicode

Total characters5689
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique566 ?
Unique (%)56.6%

Sample

1st row686838
2nd row384432
3rd row577534
4th row390878
5th row1601977
ValueCountFrequency (%)
96000 8
 
0.8%
110400 8
 
0.8%
93600 8
 
0.8%
106800 7
 
0.7%
147600 6
 
0.6%
109200 6
 
0.6%
108000 6
 
0.6%
122400 6
 
0.6%
104400 6
 
0.6%
74480 5
 
0.5%
Other values (711) 934
93.4%
2023-12-09T21:03:43.471491image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 1502
26.4%
1 819
14.4%
2 536
 
9.4%
8 477
 
8.4%
6 463
 
8.1%
5 461
 
8.1%
4 383
 
6.7%
7 359
 
6.3%
9 347
 
6.1%
3 337
 
5.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 5684
99.9%
Other Punctuation 5
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1502
26.4%
1 819
14.4%
2 536
 
9.4%
8 477
 
8.4%
6 463
 
8.1%
5 461
 
8.1%
4 383
 
6.7%
7 359
 
6.3%
9 347
 
6.1%
3 337
 
5.9%
Other Punctuation
ValueCountFrequency (%)
. 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 5689
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 1502
26.4%
1 819
14.4%
2 536
 
9.4%
8 477
 
8.4%
6 463
 
8.1%
5 461
 
8.1%
4 383
 
6.7%
7 359
 
6.3%
9 347
 
6.1%
3 337
 
5.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 5689
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 1502
26.4%
1 819
14.4%
2 536
 
9.4%
8 477
 
8.4%
6 463
 
8.1%
5 461
 
8.1%
4 383
 
6.7%
7 359
 
6.3%
9 347
 
6.1%
3 337
 
5.9%
Distinct720
Distinct (%)72.0%
Missing0
Missing (%)0.0%
Memory size61.3 KiB
2023-12-09T21:03:43.882525image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length8
Median length6
Mean length5.687
Min length4

Characters and Unicode

Total characters5687
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique564 ?
Unique (%)56.4%

Sample

1st row686838
2nd row384432
3rd row577534
4th row390878
5th row1601977
ValueCountFrequency (%)
96000 8
 
0.8%
110400 8
 
0.8%
93600 8
 
0.8%
106800 7
 
0.7%
147600 6
 
0.6%
109200 6
 
0.6%
104400 6
 
0.6%
108000 6
 
0.6%
122400 6
 
0.6%
186000 5
 
0.5%
Other values (710) 934
93.4%
2023-12-09T21:03:44.433019image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 1499
26.4%
1 825
14.5%
2 531
 
9.3%
8 487
 
8.6%
5 466
 
8.2%
6 452
 
7.9%
4 383
 
6.7%
7 361
 
6.3%
9 346
 
6.1%
3 332
 
5.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 5682
99.9%
Other Punctuation 5
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1499
26.4%
1 825
14.5%
2 531
 
9.3%
8 487
 
8.6%
5 466
 
8.2%
6 452
 
8.0%
4 383
 
6.7%
7 361
 
6.4%
9 346
 
6.1%
3 332
 
5.8%
Other Punctuation
ValueCountFrequency (%)
. 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 5687
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 1499
26.4%
1 825
14.5%
2 531
 
9.3%
8 487
 
8.6%
5 466
 
8.2%
6 452
 
7.9%
4 383
 
6.7%
7 361
 
6.3%
9 346
 
6.1%
3 332
 
5.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 5687
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 1499
26.4%
1 825
14.5%
2 531
 
9.3%
8 487
 
8.6%
5 466
 
8.2%
6 452
 
7.9%
4 383
 
6.7%
7 361
 
6.3%
9 346
 
6.1%
3 332
 
5.8%
Distinct33
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Memory size68.2 KiB
2023-12-09T21:03:44.686313image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.747
Min length4

Characters and Unicode

Total characters12747
Distinct characters21
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique32 ?
Unique (%)3.2%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 968
49.2%
available 968
49.2%
305427 1
 
0.1%
81688 1
 
0.1%
9177 1
 
0.1%
24008 1
 
0.1%
35532 1
 
0.1%
198170 1
 
0.1%
24000 1
 
0.1%
39590 1
 
0.1%
Other values (24) 24
 
1.2%
2023-12-09T21:03:45.049358image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1936
15.2%
l 1936
15.2%
N 968
7.6%
o 968
7.6%
b 968
7.6%
i 968
7.6%
e 968
7.6%
v 968
7.6%
A 968
7.6%
968
7.6%
Other values (11) 1131
8.9%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9680
75.9%
Uppercase Letter 1936
 
15.2%
Space Separator 968
 
7.6%
Decimal Number 163
 
1.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 22
13.5%
8 21
12.9%
4 18
11.0%
1 17
10.4%
7 17
10.4%
2 16
9.8%
5 16
9.8%
3 13
8.0%
9 13
8.0%
6 10
6.1%
Lowercase Letter
ValueCountFrequency (%)
a 1936
20.0%
l 1936
20.0%
o 968
10.0%
b 968
10.0%
i 968
10.0%
e 968
10.0%
v 968
10.0%
t 968
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 968
50.0%
A 968
50.0%
Space Separator
ValueCountFrequency (%)
968
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11616
91.1%
Common 1131
 
8.9%

Most frequent character per script

Common
ValueCountFrequency (%)
968
85.6%
0 22
 
1.9%
8 21
 
1.9%
4 18
 
1.6%
1 17
 
1.5%
7 17
 
1.5%
2 16
 
1.4%
5 16
 
1.4%
3 13
 
1.1%
9 13
 
1.1%
Latin
ValueCountFrequency (%)
a 1936
16.7%
l 1936
16.7%
N 968
8.3%
o 968
8.3%
b 968
8.3%
i 968
8.3%
e 968
8.3%
v 968
8.3%
A 968
8.3%
t 968
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12747
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1936
15.2%
l 1936
15.2%
N 968
7.6%
o 968
7.6%
b 968
7.6%
i 968
7.6%
e 968
7.6%
v 968
7.6%
A 968
7.6%
968
7.6%
Other values (11) 1131
8.9%
Distinct603
Distinct (%)60.3%
Missing0
Missing (%)0.0%
Memory size63.3 KiB
2023-12-09T21:03:45.565963image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length7
Mean length7.711
Min length1

Characters and Unicode

Total characters7711
Distinct characters22
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique577 ?
Unique (%)57.7%

Sample

1st rowNot Available
2nd row5025.7
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 348
25.8%
available 348
25.8%
0 25
 
1.9%
46.4 3
 
0.2%
0.7 3
 
0.2%
0.4 2
 
0.1%
23.2 2
 
0.1%
387.6 2
 
0.1%
22.4 2
 
0.1%
340.3 2
 
0.1%
Other values (594) 611
45.3%
2023-12-09T21:03:46.206451image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
l 696
 
9.0%
a 696
 
9.0%
. 570
 
7.4%
1 388
 
5.0%
N 348
 
4.5%
o 348
 
4.5%
b 348
 
4.5%
e 348
 
4.5%
i 348
 
4.5%
v 348
 
4.5%
Other values (12) 3273
42.4%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 3480
45.1%
Decimal Number 2617
33.9%
Uppercase Letter 696
 
9.0%
Other Punctuation 570
 
7.4%
Space Separator 348
 
4.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 388
14.8%
2 317
12.1%
3 283
10.8%
7 259
9.9%
5 254
9.7%
4 251
9.6%
6 239
9.1%
9 226
8.6%
8 209
8.0%
0 191
7.3%
Lowercase Letter
ValueCountFrequency (%)
l 696
20.0%
a 696
20.0%
o 348
10.0%
b 348
10.0%
e 348
10.0%
i 348
10.0%
v 348
10.0%
t 348
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 348
50.0%
A 348
50.0%
Other Punctuation
ValueCountFrequency (%)
. 570
100.0%
Space Separator
ValueCountFrequency (%)
348
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 4176
54.2%
Common 3535
45.8%

Most frequent character per script

Common
ValueCountFrequency (%)
. 570
16.1%
1 388
11.0%
348
9.8%
2 317
9.0%
3 283
8.0%
7 259
7.3%
5 254
7.2%
4 251
7.1%
6 239
6.8%
9 226
 
6.4%
Other values (2) 400
11.3%
Latin
ValueCountFrequency (%)
l 696
16.7%
a 696
16.7%
N 348
8.3%
o 348
8.3%
b 348
8.3%
e 348
8.3%
i 348
8.3%
v 348
8.3%
A 348
8.3%
t 348
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 7711
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
l 696
 
9.0%
a 696
 
9.0%
. 570
 
7.4%
1 388
 
5.0%
N 348
 
4.5%
o 348
 
4.5%
b 348
 
4.5%
e 348
 
4.5%
i 348
 
4.5%
v 348
 
4.5%
Other values (12) 3273
42.4%
Distinct589
Distinct (%)58.9%
Missing0
Missing (%)0.0%
Memory size63.4 KiB
2023-12-09T21:03:46.732059image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length7
Mean length7.801
Min length1

Characters and Unicode

Total characters7801
Distinct characters22
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique563 ?
Unique (%)56.3%

Sample

1st rowNot Available
2nd row5025.7
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 362
26.6%
available 362
26.6%
0 25
 
1.8%
46.4 3
 
0.2%
0.7 3
 
0.2%
332.1 2
 
0.1%
2.2 2
 
0.1%
52.4 2
 
0.1%
287.6 2
 
0.1%
387.6 2
 
0.1%
Other values (580) 597
43.8%
2023-12-09T21:03:47.379565image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
l 724
 
9.3%
a 724
 
9.3%
. 556
 
7.1%
1 374
 
4.8%
o 362
 
4.6%
e 362
 
4.6%
b 362
 
4.6%
N 362
 
4.6%
i 362
 
4.6%
v 362
 
4.6%
Other values (12) 3251
41.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 3620
46.4%
Decimal Number 2539
32.5%
Uppercase Letter 724
 
9.3%
Other Punctuation 556
 
7.1%
Space Separator 362
 
4.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 374
14.7%
2 307
12.1%
3 276
10.9%
7 254
10.0%
5 249
9.8%
4 246
9.7%
6 229
9.0%
9 217
8.5%
8 200
7.9%
0 187
7.4%
Lowercase Letter
ValueCountFrequency (%)
l 724
20.0%
a 724
20.0%
o 362
10.0%
e 362
10.0%
b 362
10.0%
i 362
10.0%
v 362
10.0%
t 362
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 362
50.0%
A 362
50.0%
Other Punctuation
ValueCountFrequency (%)
. 556
100.0%
Space Separator
ValueCountFrequency (%)
362
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 4344
55.7%
Common 3457
44.3%

Most frequent character per script

Common
ValueCountFrequency (%)
. 556
16.1%
1 374
10.8%
362
10.5%
2 307
8.9%
3 276
8.0%
7 254
7.3%
5 249
7.2%
4 246
7.1%
6 229
6.6%
9 217
 
6.3%
Other values (2) 387
11.2%
Latin
ValueCountFrequency (%)
l 724
16.7%
a 724
16.7%
o 362
8.3%
e 362
8.3%
b 362
8.3%
N 362
8.3%
i 362
8.3%
v 362
8.3%
A 362
8.3%
t 362
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 7801
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
l 724
 
9.3%
a 724
 
9.3%
. 556
 
7.1%
1 374
 
4.8%
o 362
 
4.6%
e 362
 
4.6%
b 362
 
4.6%
N 362
 
4.6%
i 362
 
4.6%
v 362
 
4.6%
Other values (12) 3251
41.7%
Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size68.5 KiB
2023-12-09T21:03:47.562353image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length13
Min length13

Characters and Unicode

Total characters13000
Distinct characters11
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 1000
50.0%
available 1000
50.0%
2023-12-09T21:03:47.838119image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 2000
15.4%
l 2000
15.4%
N 1000
7.7%
o 1000
7.7%
t 1000
7.7%
1000
7.7%
A 1000
7.7%
v 1000
7.7%
i 1000
7.7%
b 1000
7.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 10000
76.9%
Uppercase Letter 2000
 
15.4%
Space Separator 1000
 
7.7%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 2000
20.0%
l 2000
20.0%
o 1000
10.0%
t 1000
10.0%
v 1000
10.0%
i 1000
10.0%
b 1000
10.0%
e 1000
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 1000
50.0%
A 1000
50.0%
Space Separator
ValueCountFrequency (%)
1000
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 12000
92.3%
Common 1000
 
7.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 2000
16.7%
l 2000
16.7%
N 1000
8.3%
o 1000
8.3%
t 1000
8.3%
A 1000
8.3%
v 1000
8.3%
i 1000
8.3%
b 1000
8.3%
e 1000
8.3%
Common
ValueCountFrequency (%)
1000
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 13000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 2000
15.4%
l 2000
15.4%
N 1000
7.7%
o 1000
7.7%
t 1000
7.7%
1000
7.7%
A 1000
7.7%
v 1000
7.7%
i 1000
7.7%
b 1000
7.7%
Distinct13
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size68.4 KiB
2023-12-09T21:03:48.032155image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.922
Min length6

Characters and Unicode

Total characters12922
Distinct characters22
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique12 ?
Unique (%)1.2%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 988
49.7%
available 988
49.7%
40042.3 1
 
0.1%
8297.9 1
 
0.1%
21201.8 1
 
0.1%
29992.9 1
 
0.1%
8453.2 1
 
0.1%
18233.1 1
 
0.1%
9055.5 1
 
0.1%
6618.6 1
 
0.1%
Other values (4) 4
 
0.2%
2023-12-09T21:03:48.363853image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1976
15.3%
l 1976
15.3%
N 988
7.6%
t 988
7.6%
988
7.6%
A 988
7.6%
v 988
7.6%
i 988
7.6%
b 988
7.6%
e 988
7.6%
Other values (12) 1066
8.2%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9880
76.5%
Uppercase Letter 1976
 
15.3%
Space Separator 988
 
7.6%
Decimal Number 66
 
0.5%
Other Punctuation 12
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
9 9
13.6%
1 8
12.1%
2 8
12.1%
8 7
10.6%
6 7
10.6%
5 6
9.1%
4 6
9.1%
3 5
7.6%
7 5
7.6%
0 5
7.6%
Lowercase Letter
ValueCountFrequency (%)
a 1976
20.0%
l 1976
20.0%
t 988
10.0%
v 988
10.0%
i 988
10.0%
b 988
10.0%
e 988
10.0%
o 988
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 988
50.0%
A 988
50.0%
Space Separator
ValueCountFrequency (%)
988
100.0%
Other Punctuation
ValueCountFrequency (%)
. 12
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11856
91.8%
Common 1066
 
8.2%

Most frequent character per script

Common
ValueCountFrequency (%)
988
92.7%
. 12
 
1.1%
9 9
 
0.8%
1 8
 
0.8%
2 8
 
0.8%
8 7
 
0.7%
6 7
 
0.7%
5 6
 
0.6%
4 6
 
0.6%
3 5
 
0.5%
Other values (2) 10
 
0.9%
Latin
ValueCountFrequency (%)
a 1976
16.7%
l 1976
16.7%
N 988
8.3%
t 988
8.3%
A 988
8.3%
v 988
8.3%
i 988
8.3%
b 988
8.3%
e 988
8.3%
o 988
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12922
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1976
15.3%
l 1976
15.3%
N 988
7.6%
t 988
7.6%
988
7.6%
A 988
7.6%
v 988
7.6%
i 988
7.6%
b 988
7.6%
e 988
7.6%
Other values (12) 1066
8.2%
Distinct600
Distinct (%)60.0%
Missing0
Missing (%)0.0%
Memory size63.3 KiB
2023-12-09T21:03:48.871733image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length7
Mean length7.73
Min length1

Characters and Unicode

Total characters7730
Distinct characters22
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique574 ?
Unique (%)57.4%

Sample

1st rowNot Available
2nd row5025.7
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 351
26.0%
available 351
26.0%
0 25
 
1.9%
46.4 3
 
0.2%
0.7 3
 
0.2%
2.2 2
 
0.1%
390.5 2
 
0.1%
23.2 2
 
0.1%
287.6 2
 
0.1%
52.4 2
 
0.1%
Other values (591) 608
45.0%
2023-12-09T21:03:49.508314image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
l 702
 
9.1%
a 702
 
9.1%
. 567
 
7.3%
1 382
 
4.9%
N 351
 
4.5%
o 351
 
4.5%
b 351
 
4.5%
e 351
 
4.5%
i 351
 
4.5%
v 351
 
4.5%
Other values (12) 3271
42.3%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 3510
45.4%
Decimal Number 2600
33.6%
Uppercase Letter 702
 
9.1%
Other Punctuation 567
 
7.3%
Space Separator 351
 
4.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 382
14.7%
2 315
12.1%
3 281
10.8%
7 259
10.0%
5 254
9.8%
4 250
9.6%
6 236
9.1%
9 226
8.7%
8 207
8.0%
0 190
7.3%
Lowercase Letter
ValueCountFrequency (%)
l 702
20.0%
a 702
20.0%
o 351
10.0%
b 351
10.0%
e 351
10.0%
i 351
10.0%
v 351
10.0%
t 351
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 351
50.0%
A 351
50.0%
Other Punctuation
ValueCountFrequency (%)
. 567
100.0%
Space Separator
ValueCountFrequency (%)
351
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 4212
54.5%
Common 3518
45.5%

Most frequent character per script

Common
ValueCountFrequency (%)
. 567
16.1%
1 382
10.9%
351
10.0%
2 315
9.0%
3 281
8.0%
7 259
7.4%
5 254
7.2%
4 250
7.1%
6 236
6.7%
9 226
 
6.4%
Other values (2) 397
11.3%
Latin
ValueCountFrequency (%)
l 702
16.7%
a 702
16.7%
N 351
8.3%
o 351
8.3%
b 351
8.3%
e 351
8.3%
i 351
8.3%
v 351
8.3%
A 351
8.3%
t 351
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 7730
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
l 702
 
9.1%
a 702
 
9.1%
. 567
 
7.3%
1 382
 
4.9%
N 351
 
4.5%
o 351
 
4.5%
b 351
 
4.5%
e 351
 
4.5%
i 351
 
4.5%
v 351
 
4.5%
Other values (12) 3271
42.3%
Distinct588
Distinct (%)58.8%
Missing0
Missing (%)0.0%
Memory size63.4 KiB
2023-12-09T21:03:50.034677image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length7
Mean length7.808
Min length1

Characters and Unicode

Total characters7808
Distinct characters22
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique562 ?
Unique (%)56.2%

Sample

1st rowNot Available
2nd row5025.7
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 363
26.6%
available 363
26.6%
0 25
 
1.8%
46.4 3
 
0.2%
0.7 3
 
0.2%
30.4 2
 
0.1%
390.5 2
 
0.1%
525.8 2
 
0.1%
539.4 2
 
0.1%
52.4 2
 
0.1%
Other values (579) 596
43.7%
2023-12-09T21:03:50.686343image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
l 726
 
9.3%
a 726
 
9.3%
. 555
 
7.1%
1 374
 
4.8%
N 363
 
4.6%
o 363
 
4.6%
b 363
 
4.6%
e 363
 
4.6%
i 363
 
4.6%
v 363
 
4.6%
Other values (12) 3249
41.6%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 3630
46.5%
Decimal Number 2534
32.5%
Uppercase Letter 726
 
9.3%
Other Punctuation 555
 
7.1%
Space Separator 363
 
4.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 374
14.8%
2 307
12.1%
3 276
10.9%
7 254
10.0%
5 248
9.8%
4 244
9.6%
6 229
9.0%
9 217
8.6%
8 200
7.9%
0 185
7.3%
Lowercase Letter
ValueCountFrequency (%)
l 726
20.0%
a 726
20.0%
o 363
10.0%
b 363
10.0%
e 363
10.0%
i 363
10.0%
v 363
10.0%
t 363
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 363
50.0%
A 363
50.0%
Other Punctuation
ValueCountFrequency (%)
. 555
100.0%
Space Separator
ValueCountFrequency (%)
363
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 4356
55.8%
Common 3452
44.2%

Most frequent character per script

Common
ValueCountFrequency (%)
. 555
16.1%
1 374
10.8%
363
10.5%
2 307
8.9%
3 276
8.0%
7 254
7.4%
5 248
7.2%
4 244
7.1%
6 229
6.6%
9 217
 
6.3%
Other values (2) 385
11.2%
Latin
ValueCountFrequency (%)
l 726
16.7%
a 726
16.7%
N 363
8.3%
o 363
8.3%
b 363
8.3%
e 363
8.3%
i 363
8.3%
v 363
8.3%
A 363
8.3%
t 363
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 7808
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
l 726
 
9.3%
a 726
 
9.3%
. 555
 
7.1%
1 374
 
4.8%
N 363
 
4.6%
o 363
 
4.6%
b 363
 
4.6%
e 363
 
4.6%
i 363
 
4.6%
v 363
 
4.6%
Other values (12) 3249
41.6%
Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size68.5 KiB
2023-12-09T21:03:50.867914image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length13
Min length13

Characters and Unicode

Total characters13000
Distinct characters11
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 1000
50.0%
available 1000
50.0%
2023-12-09T21:03:51.145332image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 2000
15.4%
l 2000
15.4%
N 1000
7.7%
o 1000
7.7%
t 1000
7.7%
1000
7.7%
A 1000
7.7%
v 1000
7.7%
i 1000
7.7%
b 1000
7.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 10000
76.9%
Uppercase Letter 2000
 
15.4%
Space Separator 1000
 
7.7%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 2000
20.0%
l 2000
20.0%
o 1000
10.0%
t 1000
10.0%
v 1000
10.0%
i 1000
10.0%
b 1000
10.0%
e 1000
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 1000
50.0%
A 1000
50.0%
Space Separator
ValueCountFrequency (%)
1000
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 12000
92.3%
Common 1000
 
7.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 2000
16.7%
l 2000
16.7%
N 1000
8.3%
o 1000
8.3%
t 1000
8.3%
A 1000
8.3%
v 1000
8.3%
i 1000
8.3%
b 1000
8.3%
e 1000
8.3%
Common
ValueCountFrequency (%)
1000
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 13000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 2000
15.4%
l 2000
15.4%
N 1000
7.7%
o 1000
7.7%
t 1000
7.7%
1000
7.7%
A 1000
7.7%
v 1000
7.7%
i 1000
7.7%
b 1000
7.7%
Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size68.5 KiB
2023-12-09T21:03:51.313739image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.982
Min length4

Characters and Unicode

Total characters12982
Distinct characters14
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 998
49.9%
available 998
49.9%
leed 2
 
0.1%
2023-12-09T21:03:51.591615image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1996
15.4%
l 1996
15.4%
N 998
7.7%
o 998
7.7%
t 998
7.7%
998
7.7%
A 998
7.7%
v 998
7.7%
i 998
7.7%
b 998
7.7%
Other values (4) 1006
7.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9980
76.9%
Uppercase Letter 2004
 
15.4%
Space Separator 998
 
7.7%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 1996
20.0%
l 1996
20.0%
o 998
10.0%
t 998
10.0%
v 998
10.0%
i 998
10.0%
b 998
10.0%
e 998
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 998
49.8%
A 998
49.8%
E 4
 
0.2%
L 2
 
0.1%
D 2
 
0.1%
Space Separator
ValueCountFrequency (%)
998
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11984
92.3%
Common 998
 
7.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 1996
16.7%
l 1996
16.7%
N 998
8.3%
o 998
8.3%
t 998
8.3%
A 998
8.3%
v 998
8.3%
i 998
8.3%
b 998
8.3%
e 998
8.3%
Other values (3) 8
 
0.1%
Common
ValueCountFrequency (%)
998
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12982
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1996
15.4%
l 1996
15.4%
N 998
7.7%
o 998
7.7%
t 998
7.7%
998
7.7%
A 998
7.7%
v 998
7.7%
i 998
7.7%
b 998
7.7%
Other values (4) 1006
7.7%
Distinct3
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size68.5 KiB
2023-12-09T21:03:51.763582image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.994
Min length10

Characters and Unicode

Total characters12994
Distinct characters18
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2 ?
Unique (%)0.2%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 998
49.9%
available 998
49.9%
05/16/2016 1
 
0.1%
12/19/2011 1
 
0.1%
2023-12-09T21:03:52.069961image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1996
15.4%
l 1996
15.4%
N 998
7.7%
e 998
7.7%
o 998
7.7%
i 998
7.7%
b 998
7.7%
v 998
7.7%
A 998
7.7%
998
7.7%
Other values (8) 1018
7.8%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9980
76.8%
Uppercase Letter 1996
 
15.4%
Space Separator 998
 
7.7%
Decimal Number 16
 
0.1%
Other Punctuation 4
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 1996
20.0%
l 1996
20.0%
e 998
10.0%
o 998
10.0%
i 998
10.0%
b 998
10.0%
v 998
10.0%
t 998
10.0%
Decimal Number
ValueCountFrequency (%)
1 6
37.5%
0 3
18.8%
2 3
18.8%
6 2
 
12.5%
5 1
 
6.2%
9 1
 
6.2%
Uppercase Letter
ValueCountFrequency (%)
N 998
50.0%
A 998
50.0%
Space Separator
ValueCountFrequency (%)
998
100.0%
Other Punctuation
ValueCountFrequency (%)
/ 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11976
92.2%
Common 1018
 
7.8%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 1996
16.7%
l 1996
16.7%
N 998
8.3%
e 998
8.3%
o 998
8.3%
i 998
8.3%
b 998
8.3%
v 998
8.3%
A 998
8.3%
t 998
8.3%
Common
ValueCountFrequency (%)
998
98.0%
1 6
 
0.6%
/ 4
 
0.4%
0 3
 
0.3%
2 3
 
0.3%
6 2
 
0.2%
5 1
 
0.1%
9 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12994
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1996
15.4%
l 1996
15.4%
N 998
7.7%
e 998
7.7%
o 998
7.7%
i 998
7.7%
b 998
7.7%
v 998
7.7%
A 998
7.7%
998
7.7%
Other values (8) 1018
7.8%
Distinct3
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size68.5 KiB
2023-12-09T21:03:52.241627image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.994
Min length10

Characters and Unicode

Total characters12994
Distinct characters18
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2 ?
Unique (%)0.2%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 998
49.9%
available 998
49.9%
05/16/2016 1
 
0.1%
12/19/2011 1
 
0.1%
2023-12-09T21:03:52.544607image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1996
15.4%
l 1996
15.4%
N 998
7.7%
e 998
7.7%
o 998
7.7%
i 998
7.7%
b 998
7.7%
v 998
7.7%
A 998
7.7%
998
7.7%
Other values (8) 1018
7.8%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9980
76.8%
Uppercase Letter 1996
 
15.4%
Space Separator 998
 
7.7%
Decimal Number 16
 
0.1%
Other Punctuation 4
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 1996
20.0%
l 1996
20.0%
e 998
10.0%
o 998
10.0%
i 998
10.0%
b 998
10.0%
v 998
10.0%
t 998
10.0%
Decimal Number
ValueCountFrequency (%)
1 6
37.5%
0 3
18.8%
2 3
18.8%
6 2
 
12.5%
5 1
 
6.2%
9 1
 
6.2%
Uppercase Letter
ValueCountFrequency (%)
N 998
50.0%
A 998
50.0%
Space Separator
ValueCountFrequency (%)
998
100.0%
Other Punctuation
ValueCountFrequency (%)
/ 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11976
92.2%
Common 1018
 
7.8%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 1996
16.7%
l 1996
16.7%
N 998
8.3%
e 998
8.3%
o 998
8.3%
i 998
8.3%
b 998
8.3%
v 998
8.3%
A 998
8.3%
t 998
8.3%
Common
ValueCountFrequency (%)
998
98.0%
1 6
 
0.6%
/ 4
 
0.4%
0 3
 
0.3%
2 3
 
0.3%
6 2
 
0.2%
5 1
 
0.1%
9 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12994
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1996
15.4%
l 1996
15.4%
N 998
7.7%
e 998
7.7%
o 998
7.7%
i 998
7.7%
b 998
7.7%
v 998
7.7%
A 998
7.7%
998
7.7%
Other values (8) 1018
7.8%
Distinct414
Distinct (%)41.4%
Missing0
Missing (%)0.0%
Memory size78.2 KiB
2023-12-09T21:03:52.912047image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length23
Median length23
Mean length23
Min length23

Characters and Unicode

Total characters23000
Distinct characters20
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique241 ?
Unique (%)24.1%

Sample

1st row05/20/2021 10:02 AM EDT
2nd row05/20/2021 10:04 AM EDT
3rd row05/21/2021 11:55 AM EDT
4th row05/20/2021 10:00 AM EDT
5th row05/04/2021 07:35 PM EDT
ValueCountFrequency (%)
edt 994
24.9%
pm 651
16.3%
am 349
 
8.7%
05/04/2021 232
 
5.8%
04/21/2021 199
 
5.0%
05/03/2021 183
 
4.6%
05/05/2021 168
 
4.2%
04/20/2021 80
 
2.0%
02:17 55
 
1.4%
10:45 43
 
1.1%
Other values (360) 1046
26.2%
2023-12-09T21:03:53.398913image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 3813
16.6%
3000
13.0%
2 2926
12.7%
/ 2000
8.7%
1 1907
8.3%
5 1101
 
4.8%
M 1000
 
4.3%
T 1000
 
4.3%
E 1000
 
4.3%
: 1000
 
4.3%
Other values (10) 4253
18.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 12000
52.2%
Uppercase Letter 5000
21.7%
Space Separator 3000
 
13.0%
Other Punctuation 3000
 
13.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 3813
31.8%
2 2926
24.4%
1 1907
15.9%
5 1101
 
9.2%
4 983
 
8.2%
3 553
 
4.6%
9 238
 
2.0%
8 218
 
1.8%
7 132
 
1.1%
6 129
 
1.1%
Uppercase Letter
ValueCountFrequency (%)
M 1000
20.0%
T 1000
20.0%
E 1000
20.0%
D 994
19.9%
P 651
13.0%
A 349
 
7.0%
S 6
 
0.1%
Other Punctuation
ValueCountFrequency (%)
/ 2000
66.7%
: 1000
33.3%
Space Separator
ValueCountFrequency (%)
3000
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 18000
78.3%
Latin 5000
 
21.7%

Most frequent character per script

Common
ValueCountFrequency (%)
0 3813
21.2%
3000
16.7%
2 2926
16.3%
/ 2000
11.1%
1 1907
10.6%
5 1101
 
6.1%
: 1000
 
5.6%
4 983
 
5.5%
3 553
 
3.1%
9 238
 
1.3%
Other values (3) 479
 
2.7%
Latin
ValueCountFrequency (%)
M 1000
20.0%
T 1000
20.0%
E 1000
20.0%
D 994
19.9%
P 651
13.0%
A 349
 
7.0%
S 6
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 23000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 3813
16.6%
3000
13.0%
2 2926
12.7%
/ 2000
8.7%
1 1907
8.3%
5 1101
 
4.8%
M 1000
 
4.3%
T 1000
 
4.3%
E 1000
 
4.3%
: 1000
 
4.3%
Other values (10) 4253
18.5%
Distinct132
Distinct (%)13.2%
Missing0
Missing (%)0.0%
Memory size78.2 KiB
2023-12-09T21:03:53.612207image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length23
Median length23
Mean length23
Min length23

Characters and Unicode

Total characters23000
Distinct characters20
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique117 ?
Unique (%)11.7%

Sample

1st row05/20/2021 10:01 AM EDT
2nd row05/20/2021 10:04 AM EDT
3rd row05/21/2021 11:54 AM EDT
4th row05/20/2021 09:59 AM EDT
5th row05/04/2021 07:28 PM EDT
ValueCountFrequency (%)
edt 986
24.6%
pm 965
24.1%
04/21/2021 670
16.8%
04/20/2021 177
 
4.4%
02:17 149
 
3.7%
03:23 138
 
3.5%
03:24 122
 
3.0%
04:02 113
 
2.8%
10:45 89
 
2.2%
10:46 88
 
2.2%
Other values (176) 503
12.6%
2023-12-09T21:03:53.926273image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 3661
15.9%
0 3398
14.8%
3000
13.0%
1 2262
9.8%
/ 2000
8.7%
4 1420
 
6.2%
M 1000
 
4.3%
T 1000
 
4.3%
E 1000
 
4.3%
: 1000
 
4.3%
Other values (10) 3259
14.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 12000
52.2%
Uppercase Letter 5000
21.7%
Space Separator 3000
 
13.0%
Other Punctuation 3000
 
13.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 3661
30.5%
0 3398
28.3%
1 2262
18.9%
4 1420
 
11.8%
3 566
 
4.7%
5 191
 
1.6%
7 183
 
1.5%
6 165
 
1.4%
8 120
 
1.0%
9 34
 
0.3%
Uppercase Letter
ValueCountFrequency (%)
M 1000
20.0%
T 1000
20.0%
E 1000
20.0%
D 986
19.7%
P 965
19.3%
A 35
 
0.7%
S 14
 
0.3%
Other Punctuation
ValueCountFrequency (%)
/ 2000
66.7%
: 1000
33.3%
Space Separator
ValueCountFrequency (%)
3000
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 18000
78.3%
Latin 5000
 
21.7%

Most frequent character per script

Common
ValueCountFrequency (%)
2 3661
20.3%
0 3398
18.9%
3000
16.7%
1 2262
12.6%
/ 2000
11.1%
4 1420
 
7.9%
: 1000
 
5.6%
3 566
 
3.1%
5 191
 
1.1%
7 183
 
1.0%
Other values (3) 319
 
1.8%
Latin
ValueCountFrequency (%)
M 1000
20.0%
T 1000
20.0%
E 1000
20.0%
D 986
19.7%
P 965
19.3%
A 35
 
0.7%
S 14
 
0.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 23000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 3661
15.9%
0 3398
14.8%
3000
13.0%
1 2262
9.8%
/ 2000
8.7%
4 1420
 
6.2%
M 1000
 
4.3%
T 1000
 
4.3%
E 1000
 
4.3%
: 1000
 
4.3%
Other values (10) 3259
14.2%
Distinct87
Distinct (%)8.7%
Missing0
Missing (%)0.0%
Memory size77.7 KiB
2023-12-09T21:03:54.123663image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length23
Median length23
Mean length22.41
Min length13

Characters and Unicode

Total characters22410
Distinct characters29
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique80 ?
Unique (%)8.0%

Sample

1st rowNot Available
2nd rowNot Available
3rd row04/19/2021 01:03 PM EDT
4th row05/20/2021 10:00 AM EDT
5th row04/19/2021 01:02 PM EDT
ValueCountFrequency (%)
edt 929
23.9%
pm 919
23.7%
04/12/2021 858
22.1%
02:50 284
 
7.3%
02:42 266
 
6.9%
02:33 178
 
4.6%
02:53 130
 
3.3%
not 59
 
1.5%
available 59
 
1.5%
am 22
 
0.6%
Other values (121) 178
 
4.6%
2023-12-09T21:03:54.435044image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 3939
17.6%
0 3135
14.0%
2882
12.9%
1 1890
8.4%
/ 1882
8.4%
4 1216
 
5.4%
M 941
 
4.2%
T 941
 
4.2%
E 941
 
4.2%
: 941
 
4.2%
Other values (19) 3702
16.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 11292
50.4%
Uppercase Letter 4823
21.5%
Space Separator 2882
 
12.9%
Other Punctuation 2823
 
12.6%
Lowercase Letter 590
 
2.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 3939
34.9%
0 3135
27.8%
1 1890
16.7%
4 1216
 
10.8%
3 564
 
5.0%
5 454
 
4.0%
8 24
 
0.2%
6 24
 
0.2%
9 23
 
0.2%
7 23
 
0.2%
Uppercase Letter
ValueCountFrequency (%)
M 941
19.5%
T 941
19.5%
E 941
19.5%
D 929
19.3%
P 919
19.1%
A 81
 
1.7%
N 59
 
1.2%
S 12
 
0.2%
Lowercase Letter
ValueCountFrequency (%)
l 118
20.0%
a 118
20.0%
i 59
10.0%
e 59
10.0%
b 59
10.0%
v 59
10.0%
t 59
10.0%
o 59
10.0%
Other Punctuation
ValueCountFrequency (%)
/ 1882
66.7%
: 941
33.3%
Space Separator
ValueCountFrequency (%)
2882
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 16997
75.8%
Latin 5413
 
24.2%

Most frequent character per script

Latin
ValueCountFrequency (%)
M 941
17.4%
T 941
17.4%
E 941
17.4%
D 929
17.2%
P 919
17.0%
l 118
 
2.2%
a 118
 
2.2%
A 81
 
1.5%
i 59
 
1.1%
e 59
 
1.1%
Other values (6) 307
 
5.7%
Common
ValueCountFrequency (%)
2 3939
23.2%
0 3135
18.4%
2882
17.0%
1 1890
11.1%
/ 1882
11.1%
4 1216
 
7.2%
: 941
 
5.5%
3 564
 
3.3%
5 454
 
2.7%
8 24
 
0.1%
Other values (3) 70
 
0.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 22410
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 3939
17.6%
0 3135
14.0%
2882
12.9%
1 1890
8.4%
/ 1882
8.4%
4 1216
 
5.4%
M 941
 
4.2%
T 941
 
4.2%
E 941
 
4.2%
: 941
 
4.2%
Other values (19) 3702
16.5%
Distinct125
Distinct (%)12.5%
Missing0
Missing (%)0.0%
Memory size77.0 KiB
2023-12-09T21:03:54.646573image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length23
Median length23
Mean length21.68
Min length13

Characters and Unicode

Total characters21680
Distinct characters29
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique117 ?
Unique (%)11.7%

Sample

1st row05/20/2021 10:02 AM EDT
2nd row05/20/2021 10:03 AM EDT
3rd row05/20/2021 09:56 AM EDT
4th row05/20/2021 09:59 AM EDT
5th row05/04/2021 07:17 PM EDT
ValueCountFrequency (%)
edt 839
22.5%
am 759
20.3%
03/23/2021 728
19.5%
09:38 294
 
7.9%
09:37 221
 
5.9%
not 132
 
3.5%
available 132
 
3.5%
09:39 131
 
3.5%
pm 109
 
2.9%
09:36 75
 
2.0%
Other values (177) 316
 
8.5%
2023-12-09T21:03:54.970706image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2736
12.6%
0 2686
12.4%
2 2605
12.0%
3 2312
10.7%
/ 1736
 
8.0%
1 1039
 
4.8%
A 891
 
4.1%
9 883
 
4.1%
: 868
 
4.0%
M 868
 
4.0%
Other values (19) 5056
23.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 10416
48.0%
Uppercase Letter 4604
21.2%
Space Separator 2736
 
12.6%
Other Punctuation 2604
 
12.0%
Lowercase Letter 1320
 
6.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 2686
25.8%
2 2605
25.0%
3 2312
22.2%
1 1039
 
10.0%
9 883
 
8.5%
8 332
 
3.2%
7 246
 
2.4%
4 124
 
1.2%
6 122
 
1.2%
5 67
 
0.6%
Uppercase Letter
ValueCountFrequency (%)
A 891
19.4%
M 868
18.9%
E 868
18.9%
T 868
18.9%
D 839
18.2%
N 132
 
2.9%
P 109
 
2.4%
S 29
 
0.6%
Lowercase Letter
ValueCountFrequency (%)
a 264
20.0%
l 264
20.0%
t 132
10.0%
v 132
10.0%
o 132
10.0%
i 132
10.0%
b 132
10.0%
e 132
10.0%
Other Punctuation
ValueCountFrequency (%)
/ 1736
66.7%
: 868
33.3%
Space Separator
ValueCountFrequency (%)
2736
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 15756
72.7%
Latin 5924
 
27.3%

Most frequent character per script

Latin
ValueCountFrequency (%)
A 891
15.0%
M 868
14.7%
E 868
14.7%
T 868
14.7%
D 839
14.2%
a 264
 
4.5%
l 264
 
4.5%
t 132
 
2.2%
v 132
 
2.2%
o 132
 
2.2%
Other values (6) 666
11.2%
Common
ValueCountFrequency (%)
2736
17.4%
0 2686
17.0%
2 2605
16.5%
3 2312
14.7%
/ 1736
11.0%
1 1039
 
6.6%
9 883
 
5.6%
: 868
 
5.5%
8 332
 
2.1%
7 246
 
1.6%
Other values (3) 313
 
2.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 21680
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2736
12.6%
0 2686
12.4%
2 2605
12.0%
3 2312
10.7%
/ 1736
 
8.0%
1 1039
 
4.8%
A 891
 
4.1%
9 883
 
4.1%
: 868
 
4.0%
M 868
 
4.0%
Other values (19) 5056
23.3%
Distinct390
Distinct (%)39.0%
Missing0
Missing (%)0.0%
Memory size75.3 KiB
2023-12-09T21:03:55.324797image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length23
Median length23
Mean length19.99
Min length13

Characters and Unicode

Total characters19990
Distinct characters29
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique226 ?
Unique (%)22.6%

Sample

1st rowNot Available
2nd row02/26/2021 01:23 AM EST
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
edt 665
19.6%
pm 360
10.6%
am 339
10.0%
not 301
 
8.9%
available 301
 
8.9%
05/04/2021 231
 
6.8%
05/03/2021 184
 
5.4%
05/05/2021 168
 
4.9%
est 34
 
1.0%
09:40 11
 
0.3%
Other values (370) 804
23.7%
2023-12-09T21:03:55.795210image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 2800
14.0%
2398
 
12.0%
2 1815
 
9.1%
/ 1398
 
7.0%
1 1208
 
6.0%
5 1013
 
5.1%
M 699
 
3.5%
T 699
 
3.5%
: 699
 
3.5%
E 699
 
3.5%
Other values (19) 6562
32.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 8388
42.0%
Uppercase Letter 4097
20.5%
Lowercase Letter 3010
 
15.1%
Space Separator 2398
 
12.0%
Other Punctuation 2097
 
10.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 2800
33.4%
2 1815
21.6%
1 1208
14.4%
5 1013
 
12.1%
4 537
 
6.4%
3 426
 
5.1%
9 245
 
2.9%
8 184
 
2.2%
7 81
 
1.0%
6 79
 
0.9%
Uppercase Letter
ValueCountFrequency (%)
M 699
17.1%
T 699
17.1%
E 699
17.1%
D 665
16.2%
A 640
15.6%
P 360
8.8%
N 301
7.3%
S 34
 
0.8%
Lowercase Letter
ValueCountFrequency (%)
l 602
20.0%
a 602
20.0%
o 301
10.0%
e 301
10.0%
b 301
10.0%
i 301
10.0%
v 301
10.0%
t 301
10.0%
Other Punctuation
ValueCountFrequency (%)
/ 1398
66.7%
: 699
33.3%
Space Separator
ValueCountFrequency (%)
2398
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 12883
64.4%
Latin 7107
35.6%

Most frequent character per script

Latin
ValueCountFrequency (%)
M 699
9.8%
T 699
9.8%
E 699
9.8%
D 665
9.4%
A 640
9.0%
l 602
 
8.5%
a 602
 
8.5%
P 360
 
5.1%
N 301
 
4.2%
o 301
 
4.2%
Other values (6) 1539
21.7%
Common
ValueCountFrequency (%)
0 2800
21.7%
2398
18.6%
2 1815
14.1%
/ 1398
10.9%
1 1208
9.4%
5 1013
 
7.9%
: 699
 
5.4%
4 537
 
4.2%
3 426
 
3.3%
9 245
 
1.9%
Other values (3) 344
 
2.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 19990
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 2800
14.0%
2398
 
12.0%
2 1815
 
9.1%
/ 1398
 
7.0%
1 1208
 
6.0%
5 1013
 
5.1%
M 699
 
3.5%
T 699
 
3.5%
: 699
 
3.5%
E 699
 
3.5%
Other values (19) 6562
32.8%
Distinct143
Distinct (%)14.3%
Missing0
Missing (%)0.0%
Memory size78.2 KiB
2023-12-09T21:03:56.037377image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length23
Median length23
Mean length23
Min length23

Characters and Unicode

Total characters23000
Distinct characters20
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique123 ?
Unique (%)12.3%

Sample

1st row05/04/2021 06:16 PM EDT
2nd row05/04/2021 06:23 PM EDT
3rd row05/04/2021 05:31 PM EDT
4th row05/04/2021 06:30 PM EDT
5th row05/04/2021 07:35 PM EDT
ValueCountFrequency (%)
edt 969
24.2%
pm 886
22.1%
08/17/2020 302
 
7.5%
08/11/2020 238
 
5.9%
08/12/2020 229
 
5.7%
09:16 173
 
4.3%
05:35 146
 
3.6%
am 114
 
2.9%
03:49 106
 
2.6%
05:36 92
 
2.3%
Other values (199) 745
18.6%
2023-12-09T21:03:56.410685image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 3987
17.3%
3000
13.0%
2 2426
10.5%
/ 2000
8.7%
1 1806
 
7.9%
8 1000
 
4.3%
T 1000
 
4.3%
E 1000
 
4.3%
M 1000
 
4.3%
: 1000
 
4.3%
Other values (10) 4781
20.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 12000
52.2%
Uppercase Letter 5000
21.7%
Space Separator 3000
 
13.0%
Other Punctuation 3000
 
13.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 3987
33.2%
2 2426
20.2%
1 1806
15.0%
8 1000
 
8.3%
3 547
 
4.6%
5 539
 
4.5%
4 509
 
4.2%
9 465
 
3.9%
7 380
 
3.2%
6 341
 
2.8%
Uppercase Letter
ValueCountFrequency (%)
T 1000
20.0%
E 1000
20.0%
M 1000
20.0%
D 969
19.4%
P 886
17.7%
A 114
 
2.3%
S 31
 
0.6%
Other Punctuation
ValueCountFrequency (%)
/ 2000
66.7%
: 1000
33.3%
Space Separator
ValueCountFrequency (%)
3000
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 18000
78.3%
Latin 5000
 
21.7%

Most frequent character per script

Common
ValueCountFrequency (%)
0 3987
22.1%
3000
16.7%
2 2426
13.5%
/ 2000
11.1%
1 1806
10.0%
8 1000
 
5.6%
: 1000
 
5.6%
3 547
 
3.0%
5 539
 
3.0%
4 509
 
2.8%
Other values (3) 1186
 
6.6%
Latin
ValueCountFrequency (%)
T 1000
20.0%
E 1000
20.0%
M 1000
20.0%
D 969
19.4%
P 886
17.7%
A 114
 
2.3%
S 31
 
0.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 23000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 3987
17.3%
3000
13.0%
2 2426
10.5%
/ 2000
8.7%
1 1806
 
7.9%
8 1000
 
4.3%
T 1000
 
4.3%
E 1000
 
4.3%
M 1000
 
4.3%
: 1000
 
4.3%
Other values (10) 4781
20.8%
Distinct20
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size56.8 KiB
2023-12-09T21:03:56.559200image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length2
Median length1
Mean length1.017
Min length1

Characters and Unicode

Total characters1017
Distinct characters10
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique9 ?
Unique (%)0.9%

Sample

1st row4
2nd row5
3rd row7
4th row5
5th row6
ValueCountFrequency (%)
3 745
74.5%
2 136
 
13.6%
4 46
 
4.6%
7 16
 
1.6%
5 13
 
1.3%
1 10
 
1.0%
6 10
 
1.0%
8 6
 
0.6%
11 4
 
0.4%
10 3
 
0.3%
Other values (10) 11
 
1.1%
2023-12-09T21:03:56.815893image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3 747
73.5%
2 138
 
13.6%
4 48
 
4.7%
1 28
 
2.8%
7 17
 
1.7%
5 16
 
1.6%
6 13
 
1.3%
8 6
 
0.6%
0 3
 
0.3%
9 1
 
0.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1017
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 747
73.5%
2 138
 
13.6%
4 48
 
4.7%
1 28
 
2.8%
7 17
 
1.7%
5 16
 
1.6%
6 13
 
1.3%
8 6
 
0.6%
0 3
 
0.3%
9 1
 
0.1%

Most occurring scripts

ValueCountFrequency (%)
Common 1017
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
3 747
73.5%
2 138
 
13.6%
4 48
 
4.7%
1 28
 
2.8%
7 17
 
1.7%
5 16
 
1.6%
6 13
 
1.3%
8 6
 
0.6%
0 3
 
0.3%
9 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1017
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3 747
73.5%
2 138
 
13.6%
4 48
 
4.7%
1 28
 
2.8%
7 17
 
1.7%
5 16
 
1.6%
6 13
 
1.3%
8 6
 
0.6%
0 3
 
0.3%
9 1
 
0.1%
Distinct15
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size56.8 KiB
2023-12-09T21:03:56.942195image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length2
Median length1
Mean length1.011
Min length1

Characters and Unicode

Total characters1011
Distinct characters9
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique5 ?
Unique (%)0.5%

Sample

1st row4
2nd row5
3rd row7
4th row5
5th row5
ValueCountFrequency (%)
3 746
74.6%
2 136
 
13.6%
4 54
 
5.4%
5 20
 
2.0%
7 10
 
1.0%
1 10
 
1.0%
6 7
 
0.7%
8 6
 
0.6%
11 3
 
0.3%
10 3
 
0.3%
Other values (5) 5
 
0.5%
2023-12-09T21:03:57.183068image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3 749
74.1%
2 136
 
13.5%
4 56
 
5.5%
5 22
 
2.2%
1 21
 
2.1%
7 11
 
1.1%
6 7
 
0.7%
8 6
 
0.6%
0 3
 
0.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1011
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 749
74.1%
2 136
 
13.5%
4 56
 
5.5%
5 22
 
2.2%
1 21
 
2.1%
7 11
 
1.1%
6 7
 
0.7%
8 6
 
0.6%
0 3
 
0.3%

Most occurring scripts

ValueCountFrequency (%)
Common 1011
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
3 749
74.1%
2 136
 
13.5%
4 56
 
5.5%
5 22
 
2.2%
1 21
 
2.1%
7 11
 
1.1%
6 7
 
0.7%
8 6
 
0.6%
0 3
 
0.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1011
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3 749
74.1%
2 136
 
13.5%
4 56
 
5.5%
5 22
 
2.2%
1 21
 
2.1%
7 11
 
1.1%
6 7
 
0.7%
8 6
 
0.6%
0 3
 
0.3%
Distinct11
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size56.8 KiB
2023-12-09T21:03:57.305563image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length2
Median length1
Mean length1.004
Min length1

Characters and Unicode

Total characters1004
Distinct characters7
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique8 ?
Unique (%)0.8%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row1
ValueCountFrequency (%)
0 982
98.2%
2 7
 
0.7%
3 3
 
0.3%
11 1
 
0.1%
10 1
 
0.1%
7 1
 
0.1%
4 1
 
0.1%
8 1
 
0.1%
17 1
 
0.1%
12 1
 
0.1%
2023-12-09T21:03:57.537216image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 983
97.9%
2 8
 
0.8%
1 6
 
0.6%
3 3
 
0.3%
7 2
 
0.2%
4 1
 
0.1%
8 1
 
0.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1004
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 983
97.9%
2 8
 
0.8%
1 6
 
0.6%
3 3
 
0.3%
7 2
 
0.2%
4 1
 
0.1%
8 1
 
0.1%

Most occurring scripts

ValueCountFrequency (%)
Common 1004
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 983
97.9%
2 8
 
0.8%
1 6
 
0.6%
3 3
 
0.3%
7 2
 
0.2%
4 1
 
0.1%
8 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1004
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 983
97.9%
2 8
 
0.8%
1 6
 
0.6%
3 3
 
0.3%
7 2
 
0.2%
4 1
 
0.1%
8 1
 
0.1%
Distinct7
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size56.8 KiB
2023-12-09T21:03:57.651389image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters1000
Distinct characters7
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique3 ?
Unique (%)0.3%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0
ValueCountFrequency (%)
0 981
98.1%
1 10
 
1.0%
3 4
 
0.4%
6 2
 
0.2%
2 1
 
0.1%
4 1
 
0.1%
5 1
 
0.1%
2023-12-09T21:03:57.873762image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 981
98.1%
1 10
 
1.0%
3 4
 
0.4%
6 2
 
0.2%
2 1
 
0.1%
4 1
 
0.1%
5 1
 
0.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1000
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 981
98.1%
1 10
 
1.0%
3 4
 
0.4%
6 2
 
0.2%
2 1
 
0.1%
4 1
 
0.1%
5 1
 
0.1%

Most occurring scripts

ValueCountFrequency (%)
Common 1000
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 981
98.1%
1 10
 
1.0%
3 4
 
0.4%
6 2
 
0.2%
2 1
 
0.1%
4 1
 
0.1%
5 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 981
98.1%
1 10
 
1.0%
3 4
 
0.4%
6 2
 
0.2%
2 1
 
0.1%
4 1
 
0.1%
5 1
 
0.1%
Distinct261
Distinct (%)26.1%
Missing0
Missing (%)0.0%
Memory size78.2 KiB
2023-12-09T21:03:58.122234image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length23
Median length23
Mean length23
Min length23

Characters and Unicode

Total characters23000
Distinct characters14
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique100 ?
Unique (%)10.0%

Sample

1st row2021-05-20T14:43:12.000
2nd row2021-05-20T14:43:12.000
3rd row2021-05-21T16:10:56.000
4th row2021-05-20T14:43:13.000
5th row2021-05-10T18:30:37.000
ValueCountFrequency (%)
2021-05-28t17:12:59.000 12
 
1.2%
2021-05-28t17:13:01.000 12
 
1.2%
2021-05-28t17:11:15.000 12
 
1.2%
2021-05-28t17:12:46.000 12
 
1.2%
2021-05-28t17:13:20.000 11
 
1.1%
2021-05-28t17:11:14.000 11
 
1.1%
2021-05-28t17:12:23.000 11
 
1.1%
2021-05-28t17:13:10.000 11
 
1.1%
2021-05-28t17:13:09.000 10
 
1.0%
2021-05-28t17:13:22.000 10
 
1.0%
Other values (251) 888
88.8%
2023-12-09T21:03:58.496168image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 5336
23.2%
2 3602
15.7%
1 3520
15.3%
- 2000
 
8.7%
: 2000
 
8.7%
5 1186
 
5.2%
7 1024
 
4.5%
T 1000
 
4.3%
. 1000
 
4.3%
8 997
 
4.3%
Other values (4) 1335
 
5.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 17000
73.9%
Other Punctuation 3000
 
13.0%
Dash Punctuation 2000
 
8.7%
Uppercase Letter 1000
 
4.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 5336
31.4%
2 3602
21.2%
1 3520
20.7%
5 1186
 
7.0%
7 1024
 
6.0%
8 997
 
5.9%
3 645
 
3.8%
4 404
 
2.4%
6 164
 
1.0%
9 122
 
0.7%
Other Punctuation
ValueCountFrequency (%)
: 2000
66.7%
. 1000
33.3%
Dash Punctuation
ValueCountFrequency (%)
- 2000
100.0%
Uppercase Letter
ValueCountFrequency (%)
T 1000
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 22000
95.7%
Latin 1000
 
4.3%

Most frequent character per script

Common
ValueCountFrequency (%)
0 5336
24.3%
2 3602
16.4%
1 3520
16.0%
- 2000
 
9.1%
: 2000
 
9.1%
5 1186
 
5.4%
7 1024
 
4.7%
. 1000
 
4.5%
8 997
 
4.5%
3 645
 
2.9%
Other values (3) 690
 
3.1%
Latin
ValueCountFrequency (%)
T 1000
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 23000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 5336
23.2%
2 3602
15.7%
1 3520
15.3%
- 2000
 
8.7%
: 2000
 
8.7%
5 1186
 
5.2%
7 1024
 
4.5%
T 1000
 
4.3%
. 1000
 
4.3%
8 997
 
4.3%
Other values (4) 1335
 
5.8%
Distinct87
Distinct (%)8.7%
Missing0
Missing (%)0.0%
Memory size78.2 KiB
2023-12-09T21:03:58.721938image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length23
Median length23
Mean length23
Min length23

Characters and Unicode

Total characters23000
Distinct characters14
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique68 ?
Unique (%)6.8%

Sample

1st row2021-05-20T14:44:16.000
2nd row2021-05-20T14:44:16.000
3rd row2021-05-21T16:13:00.000
4th row2021-05-20T14:44:16.000
5th row2021-05-10T18:34:54.000
ValueCountFrequency (%)
2021-05-28t17:29:28.000 873
87.3%
2021-05-14t12:33:44.000 7
 
0.7%
2021-05-26t11:44:43.000 6
 
0.6%
2021-05-03t16:50:01.000 5
 
0.5%
2021-04-16t13:50:53.000 5
 
0.5%
2021-06-01t12:13:18.000 5
 
0.5%
2021-05-20t14:44:16.000 4
 
0.4%
2021-04-05t12:50:17.000 3
 
0.3%
2021-04-23t16:40:38.000 3
 
0.3%
2021-04-30t16:20:10.000 3
 
0.3%
Other values (77) 86
 
8.6%
2023-12-09T21:03:59.040277image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 5141
22.4%
2 4751
20.7%
1 2138
9.3%
- 2000
 
8.7%
: 2000
 
8.7%
8 1788
 
7.8%
T 1000
 
4.3%
. 1000
 
4.3%
5 995
 
4.3%
7 920
 
4.0%
Other values (4) 1267
 
5.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 17000
73.9%
Other Punctuation 3000
 
13.0%
Dash Punctuation 2000
 
8.7%
Uppercase Letter 1000
 
4.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 5141
30.2%
2 4751
27.9%
1 2138
12.6%
8 1788
 
10.5%
5 995
 
5.9%
7 920
 
5.4%
9 904
 
5.3%
4 166
 
1.0%
3 126
 
0.7%
6 71
 
0.4%
Other Punctuation
ValueCountFrequency (%)
: 2000
66.7%
. 1000
33.3%
Dash Punctuation
ValueCountFrequency (%)
- 2000
100.0%
Uppercase Letter
ValueCountFrequency (%)
T 1000
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 22000
95.7%
Latin 1000
 
4.3%

Most frequent character per script

Common
ValueCountFrequency (%)
0 5141
23.4%
2 4751
21.6%
1 2138
9.7%
- 2000
 
9.1%
: 2000
 
9.1%
8 1788
 
8.1%
. 1000
 
4.5%
5 995
 
4.5%
7 920
 
4.2%
9 904
 
4.1%
Other values (3) 363
 
1.7%
Latin
ValueCountFrequency (%)
T 1000
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 23000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 5141
22.4%
2 4751
20.7%
1 2138
9.3%
- 2000
 
8.7%
: 2000
 
8.7%
8 1788
 
7.8%
T 1000
 
4.3%
. 1000
 
4.3%
5 995
 
4.3%
7 920
 
4.0%
Other values (4) 1267
 
5.5%

borough
Text

MISSING 

Distinct5
Distinct (%)0.5%
Missing20
Missing (%)2.0%
Memory size62.3 KiB
2023-12-09T21:03:59.209619image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length9
Median length8
Mean length7.32755102
Min length5

Characters and Unicode

Total characters7181
Distinct characters18
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowMANHATTAN
2nd rowMANHATTAN
3rd rowMANHATTAN
4th rowMANHATTAN
5th rowMANHATTAN
ValueCountFrequency (%)
brooklyn 291
28.3%
manhattan 253
24.6%
queens 208
20.3%
bronx 181
17.6%
staten 47
 
4.6%
is 47
 
4.6%
2023-12-09T21:03:59.527206image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
N 1233
17.2%
A 806
11.2%
O 763
10.6%
T 600
8.4%
B 472
 
6.6%
R 472
 
6.6%
E 463
 
6.4%
S 302
 
4.2%
K 291
 
4.1%
L 291
 
4.1%
Other values (8) 1488
20.7%

Most occurring categories

ValueCountFrequency (%)
Uppercase Letter 7134
99.3%
Space Separator 47
 
0.7%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
N 1233
17.3%
A 806
11.3%
O 763
10.7%
T 600
8.4%
B 472
 
6.6%
R 472
 
6.6%
E 463
 
6.5%
S 302
 
4.2%
K 291
 
4.1%
L 291
 
4.1%
Other values (7) 1441
20.2%
Space Separator
ValueCountFrequency (%)
47
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 7134
99.3%
Common 47
 
0.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
N 1233
17.3%
A 806
11.3%
O 763
10.7%
T 600
8.4%
B 472
 
6.6%
R 472
 
6.6%
E 463
 
6.5%
S 302
 
4.2%
K 291
 
4.1%
L 291
 
4.1%
Other values (7) 1441
20.2%
Common
ValueCountFrequency (%)
47
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 7181
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
N 1233
17.2%
A 806
11.2%
O 763
10.6%
T 600
8.4%
B 472
 
6.6%
R 472
 
6.6%
E 463
 
6.4%
S 302
 
4.2%
K 291
 
4.1%
L 291
 
4.1%
Other values (8) 1488
20.7%

community_board
Text

MISSING 

Distinct60
Distinct (%)6.1%
Missing20
Missing (%)2.0%
Memory size58.2 KiB
2023-12-09T21:03:59.806304image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters2940
Distinct characters10
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)0.1%

Sample

1st row105
2nd row106
3rd row105
4th row106
5th row105
ValueCountFrequency (%)
105 58
 
5.9%
305 28
 
2.9%
103 27
 
2.8%
106 25
 
2.6%
303 24
 
2.4%
203 24
 
2.4%
111 23
 
2.3%
412 22
 
2.2%
112 22
 
2.2%
206 22
 
2.2%
Other values (50) 705
71.9%
2023-12-09T21:04:00.193606image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 721
24.5%
0 719
24.5%
3 419
14.3%
2 314
10.7%
4 293
10.0%
5 185
 
6.3%
6 91
 
3.1%
8 75
 
2.6%
7 72
 
2.4%
9 51
 
1.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2940
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 721
24.5%
0 719
24.5%
3 419
14.3%
2 314
10.7%
4 293
10.0%
5 185
 
6.3%
6 91
 
3.1%
8 75
 
2.6%
7 72
 
2.4%
9 51
 
1.7%

Most occurring scripts

ValueCountFrequency (%)
Common 2940
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 721
24.5%
0 719
24.5%
3 419
14.3%
2 314
10.7%
4 293
10.0%
5 185
 
6.3%
6 91
 
3.1%
8 75
 
2.6%
7 72
 
2.4%
9 51
 
1.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2940
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 721
24.5%
0 719
24.5%
3 419
14.3%
2 314
10.7%
4 293
10.0%
5 185
 
6.3%
6 91
 
3.1%
8 75
 
2.6%
7 72
 
2.4%
9 51
 
1.7%

council_district
Text

MISSING 

Distinct51
Distinct (%)5.2%
Missing20
Missing (%)2.0%
Memory size57.0 KiB
2023-12-09T21:04:00.438289image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length2
Median length2
Mean length1.746938776
Min length1

Characters and Unicode

Total characters1712
Distinct characters10
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row4
2nd row4
3rd row4
4th row4
5th row4
ValueCountFrequency (%)
4 74
 
7.6%
17 37
 
3.8%
1 35
 
3.6%
8 34
 
3.5%
15 26
 
2.7%
41 26
 
2.7%
36 25
 
2.6%
16 25
 
2.6%
9 24
 
2.4%
42 24
 
2.4%
Other values (41) 650
66.3%
2023-12-09T21:04:00.799115image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4 316
18.5%
1 314
18.3%
3 279
16.3%
2 229
13.4%
5 113
 
6.6%
8 105
 
6.1%
7 101
 
5.9%
6 99
 
5.8%
9 85
 
5.0%
0 71
 
4.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1712
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
4 316
18.5%
1 314
18.3%
3 279
16.3%
2 229
13.4%
5 113
 
6.6%
8 105
 
6.1%
7 101
 
5.9%
6 99
 
5.8%
9 85
 
5.0%
0 71
 
4.1%

Most occurring scripts

ValueCountFrequency (%)
Common 1712
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
4 316
18.5%
1 314
18.3%
3 279
16.3%
2 229
13.4%
5 113
 
6.6%
8 105
 
6.1%
7 101
 
5.9%
6 99
 
5.8%
9 85
 
5.0%
0 71
 
4.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1712
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
4 316
18.5%
1 314
18.3%
3 279
16.3%
2 229
13.4%
5 113
 
6.6%
8 105
 
6.1%
7 101
 
5.9%
6 99
 
5.8%
9 85
 
5.0%
0 71
 
4.1%

census_tract
Text

MISSING 

Distinct599
Distinct (%)61.1%
Missing20
Missing (%)2.0%
Memory size58.3 KiB
2023-12-09T21:04:01.294160image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length6
Median length3
Mean length3.17244898
Min length1

Characters and Unicode

Total characters3109
Distinct characters10
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique372 ?
Unique (%)38.0%

Sample

1st row119
2nd row88
3rd row125
4th row90
5th row119
ValueCountFrequency (%)
102 10
 
1.0%
11202 7
 
0.7%
119 7
 
0.7%
104 7
 
0.7%
33 6
 
0.6%
16 6
 
0.6%
206 6
 
0.6%
131 5
 
0.5%
393 5
 
0.5%
39 5
 
0.5%
Other values (589) 916
93.5%
2023-12-09T21:04:01.914708image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 580
18.7%
2 435
14.0%
0 355
11.4%
3 332
10.7%
4 276
8.9%
9 251
8.1%
7 229
 
7.4%
5 225
 
7.2%
6 214
 
6.9%
8 212
 
6.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 3109
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 580
18.7%
2 435
14.0%
0 355
11.4%
3 332
10.7%
4 276
8.9%
9 251
8.1%
7 229
 
7.4%
5 225
 
7.2%
6 214
 
6.9%
8 212
 
6.8%

Most occurring scripts

ValueCountFrequency (%)
Common 3109
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 580
18.7%
2 435
14.0%
0 355
11.4%
3 332
10.7%
4 276
8.9%
9 251
8.1%
7 229
 
7.4%
5 225
 
7.2%
6 214
 
6.9%
8 212
 
6.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3109
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 580
18.7%
2 435
14.0%
0 355
11.4%
3 332
10.7%
4 276
8.9%
9 251
8.1%
7 229
 
7.4%
5 225
 
7.2%
6 214
 
6.9%
8 212
 
6.8%

nta
Text

MISSING 

Distinct190
Distinct (%)19.4%
Missing20
Missing (%)2.0%
Memory size74.0 KiB
2023-12-09T21:04:02.263783image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length56
Median length39
Mean length19.5122449
Min length6

Characters and Unicode

Total characters19122
Distinct characters55
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique24 ?
Unique (%)2.4%

Sample

1st rowMidtown-Midtown South
2nd rowTurtle Bay-East Midtown
3rd rowMidtown-Midtown South
4th rowTurtle Bay-East Midtown
5th rowMidtown-Midtown South
ValueCountFrequency (%)
east 120
 
5.4%
south 107
 
4.8%
park 89
 
4.0%
heights 73
 
3.3%
north 61
 
2.7%
hill 53
 
2.4%
midtown-midtown 49
 
2.2%
west 46
 
2.1%
harlem 39
 
1.8%
new 38
 
1.7%
Other values (252) 1546
69.6%
2023-12-09T21:04:02.771372image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
e 1519
 
7.9%
t 1356
 
7.1%
o 1325
 
6.9%
a 1304
 
6.8%
1241
 
6.5%
r 1178
 
6.2%
n 1099
 
5.7%
i 1041
 
5.4%
s 954
 
5.0%
l 951
 
5.0%
Other values (45) 7154
37.4%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 14415
75.4%
Uppercase Letter 2847
 
14.9%
Space Separator 1241
 
6.5%
Dash Punctuation 587
 
3.1%
Other Punctuation 16
 
0.1%
Close Punctuation 8
 
< 0.1%
Open Punctuation 8
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 1519
10.5%
t 1356
9.4%
o 1325
9.2%
a 1304
9.0%
r 1178
 
8.2%
n 1099
 
7.6%
i 1041
 
7.2%
s 954
 
6.6%
l 951
 
6.6%
h 608
 
4.2%
Other values (15) 3080
21.4%
Uppercase Letter
ValueCountFrequency (%)
H 352
12.4%
B 310
10.9%
M 303
10.6%
S 277
9.7%
C 221
 
7.8%
P 186
 
6.5%
E 182
 
6.4%
N 132
 
4.6%
W 115
 
4.0%
G 100
 
3.5%
Other values (14) 669
23.5%
Other Punctuation
ValueCountFrequency (%)
. 11
68.8%
' 5
31.2%
Space Separator
ValueCountFrequency (%)
1241
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 587
100.0%
Close Punctuation
ValueCountFrequency (%)
) 8
100.0%
Open Punctuation
ValueCountFrequency (%)
( 8
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 17262
90.3%
Common 1860
 
9.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 1519
 
8.8%
t 1356
 
7.9%
o 1325
 
7.7%
a 1304
 
7.6%
r 1178
 
6.8%
n 1099
 
6.4%
i 1041
 
6.0%
s 954
 
5.5%
l 951
 
5.5%
h 608
 
3.5%
Other values (39) 5927
34.3%
Common
ValueCountFrequency (%)
1241
66.7%
- 587
31.6%
. 11
 
0.6%
) 8
 
0.4%
( 8
 
0.4%
' 5
 
0.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 19122
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
e 1519
 
7.9%
t 1356
 
7.1%
o 1325
 
6.9%
a 1304
 
6.8%
1241
 
6.5%
r 1178
 
6.2%
n 1099
 
5.7%
i 1041
 
5.4%
s 954
 
5.0%
l 951
 
5.0%
Other values (45) 7154
37.4%

longitude
Text

MISSING 

Distinct976
Distinct (%)99.6%
Missing20
Missing (%)2.0%
Memory size64.8 KiB
2023-12-09T21:04:03.141428image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length10
Median length10
Mean length9.903061224
Min length8

Characters and Unicode

Total characters9705
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique972 ?
Unique (%)99.2%

Sample

1st row-73.982826
2nd row-73.974306
3rd row-73.982504
4th row-73.972753
5th row-73.986244
ValueCountFrequency (%)
73.78639 2
 
0.2%
73.942548 2
 
0.2%
73.929076 2
 
0.2%
73.860904 2
 
0.2%
73.979813 1
 
0.1%
73.890288 1
 
0.1%
74.012289 1
 
0.1%
73.818247 1
 
0.1%
73.984753 1
 
0.1%
73.971651 1
 
0.1%
Other values (966) 966
98.6%
2023-12-09T21:04:03.644214image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
7 1581
16.3%
3 1369
14.1%
9 1046
10.8%
- 980
10.1%
. 980
10.1%
8 737
7.6%
4 577
 
5.9%
1 520
 
5.4%
6 485
 
5.0%
2 477
 
4.9%
Other values (2) 953
9.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 7745
79.8%
Dash Punctuation 980
 
10.1%
Other Punctuation 980
 
10.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
7 1581
20.4%
3 1369
17.7%
9 1046
13.5%
8 737
9.5%
4 577
 
7.4%
1 520
 
6.7%
6 485
 
6.3%
2 477
 
6.2%
5 477
 
6.2%
0 476
 
6.1%
Dash Punctuation
ValueCountFrequency (%)
- 980
100.0%
Other Punctuation
ValueCountFrequency (%)
. 980
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 9705
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
7 1581
16.3%
3 1369
14.1%
9 1046
10.8%
- 980
10.1%
. 980
10.1%
8 737
7.6%
4 577
 
5.9%
1 520
 
5.4%
6 485
 
5.0%
2 477
 
4.9%
Other values (2) 953
9.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 9705
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
7 1581
16.3%
3 1369
14.1%
9 1046
10.8%
- 980
10.1%
. 980
10.1%
8 737
7.6%
4 577
 
5.9%
1 520
 
5.4%
6 485
 
5.0%
2 477
 
4.9%
Other values (2) 953
9.8%

latitude
Text

MISSING 

Distinct978
Distinct (%)99.8%
Missing20
Missing (%)2.0%
Memory size63.8 KiB
2023-12-09T21:04:04.007214image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length9
Median length9
Mean length8.880612245
Min length7

Characters and Unicode

Total characters8703
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique976 ?
Unique (%)99.6%

Sample

1st row40.756631
2nd row40.750698
3rd row40.75831
4th row40.753074
5th row40.756181
ValueCountFrequency (%)
40.740254 2
 
0.2%
40.676094 2
 
0.2%
40.63228 1
 
0.1%
40.742616 1
 
0.1%
40.758831 1
 
0.1%
40.737517 1
 
0.1%
40.724658 1
 
0.1%
40.753074 1
 
0.1%
40.82316 1
 
0.1%
40.66011 1
 
0.1%
Other values (968) 968
98.8%
2023-12-09T21:04:04.503075image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4 1485
17.1%
0 1371
15.8%
. 980
11.3%
7 852
9.8%
6 788
9.1%
8 673
7.7%
5 626
7.2%
1 522
 
6.0%
3 494
 
5.7%
2 468
 
5.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 7723
88.7%
Other Punctuation 980
 
11.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
4 1485
19.2%
0 1371
17.8%
7 852
11.0%
6 788
10.2%
8 673
8.7%
5 626
8.1%
1 522
 
6.8%
3 494
 
6.4%
2 468
 
6.1%
9 444
 
5.7%
Other Punctuation
ValueCountFrequency (%)
. 980
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 8703
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
4 1485
17.1%
0 1371
15.8%
. 980
11.3%
7 852
9.8%
6 788
9.1%
8 673
7.7%
5 626
7.2%
1 522
 
6.0%
3 494
 
5.7%
2 468
 
5.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 8703
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
4 1485
17.1%
0 1371
15.8%
. 980
11.3%
7 852
9.8%
6 788
9.1%
8 673
7.7%
5 626
7.2%
1 522
 
6.0%
3 494
 
5.7%
2 468
 
5.4%